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Stop Guessing, Start Trading: The Token Metrics API Advantage

Announcements
Token Metrics Team
3 min
MIN

Big news: We’re cranking up the heat on AI-driven crypto analytics with the launch of the Token Metrics API and our official SDK (Software Development Kit). This isn’t just an upgrade – it's a quantum leap, giving traders, hedge funds, developers, and institutions direct access to cutting-edge market intelligence, trading signals, and predictive analytics.

Crypto markets move fast, and having real-time, AI-powered insights can be the difference between catching the next big trend or getting left behind. Until now, traders and quants have been wrestling with scattered data, delayed reporting, and a lack of truly predictive analytics. Not anymore.

The Token Metrics API delivers 32+ high-performance endpoints packed with powerful AI-driven insights right into your lap, including:

  • Trading Signals: AI-driven buy/sell recommendations based on real-time market conditions.
  • Investor & Trader Grades: Our proprietary risk-adjusted scoring for assessing crypto assets.
  • Price Predictions: Machine learning-powered forecasts for multiple time frames.
  • Sentiment Analysis: Aggregated insights from social media, news, and market data.
  • Market Indicators: Advanced metrics, including correlation analysis, volatility trends, and macro-level market insights.

‍Getting started with the Token Metrics API is simple:

  1. Sign up at www.tokenmetrics.com/api. 
  2. Generate an API key and explore sample requests.
  3. Choose a tier–start with 50 free API calls/month, or stake TMAI tokens for premium access.
  4. Optionally–download the SDK, install it for your preferred programming language, and follow the provided setup guide.

At Token Metrics, we believe data should be decentralized, predictive, and actionable. 

The Token Metrics API & SDK bring next-gen AI-powered crypto intelligence to anyone looking to trade smarter, build better, and stay ahead of the curve. With our official SDK, developers can plug these insights into their own trading bots, dashboards, and research tools – no need to reinvent the wheel.

Research

Building High-Performance APIs with FastAPI

Token Metrics Team
5
MIN

FastAPI has rapidly become a go-to framework for Python developers who need fast, async-ready web APIs. In this post we break down why FastAPI delivers strong developer ergonomics and runtime performance, how to design scalable endpoints, and practical patterns for production deployment. Whether you are prototyping an AI-backed service or integrating real-time crypto feeds, understanding FastAPI's architecture helps you build resilient APIs that scale.

Overview: What Makes FastAPI Fast?

FastAPI combines modern Python type hints, asynchronous request handling, and an automatic interactive API docs system to accelerate development and runtime efficiency. It is built on top of Starlette for the web parts and Pydantic for data validation. Key advantages include:

  • Asynchronous concurrency: Native support for async/await lets FastAPI handle I/O-bound workloads with high concurrency when served by ASGI servers like Uvicorn or Hypercorn.
  • Type-driven validation: Request and response schemas are derived from Python types, reducing boilerplate and surface area for bugs.
  • Auto docs: OpenAPI and Swagger UI are generated automatically, improving discoverability and client integration.

These traits make FastAPI suitable for microservices, ML model endpoints, and real-time data APIs where latency and developer velocity matter.

Performance & Scalability Patterns

Performance is a combination of framework design, server selection, and deployment topology. Consider these patterns:

  • ASGI server tuning: Use Uvicorn with Gunicorn workers for multi-core deployments (example: Gunicorn to manage multiple Uvicorn worker processes).
  • Concurrency model: Prefer async operations for external I/O (databases, HTTP calls). Use thread pools for CPU-bound tasks or offload to background workers like Celery or RQ.
  • Connection pooling: Maintain connection pools to databases and upstream services to avoid per-request handshake overhead.
  • Horizontal scaling: Deploy multiple replicas behind a load balancer and utilize health checks and graceful shutdown to ensure reliability.

Measure latency and throughput under realistic traffic using tools like Locust or k6, and tune worker counts and max requests to balance memory and CPU usage.

Best Practices for Building APIs with FastAPI

Adopt these practical steps to keep APIs maintainable and secure:

  1. Schema-first design: Define request and response models early with Pydantic, and use OpenAPI to validate client expectations.
  2. Versioning: Include API versioning in your URL paths or headers to enable iterative changes without breaking clients.
  3. Input validation & error handling: Rely on Pydantic for validation and implement consistent error responses with clear status codes.
  4. Authentication & rate limiting: Protect endpoints with OAuth2/JWT or API keys and apply rate limits via middleware or API gateways.
  5. CI/CD & testing: Automate unit and integration tests, and include performance tests in CI to detect regressions early.

Document deployment runbooks that cover database migrations, secrets rotation, and safe schema migrations to reduce operational risk.

Integrating AI and Real-Time Data

FastAPI is commonly used to expose AI model inference endpoints and aggregate real-time data streams. Key considerations include:

  • Model serving: For CPU/GPU-bound inference, consider dedicated model servers (e.g., TensorFlow Serving, TorchServe) or containerized inference processes, with FastAPI handling orchestration and routing.
  • Batching & async inference: Implement request batching if latency and throughput profiles allow it. Use async I/O for data fetches and preprocessing.
  • Data pipelines: Separate ingestion, processing, and serving layers. Use message queues (Kafka, RabbitMQ) for event-driven flows and background workers for heavy transforms.

AI-driven research and analytics tools can augment API development and monitoring. For example, Token Metrics provides structured crypto insights and on-chain metrics that can be integrated into API endpoints for analytics or enrichment workflows.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

What is FastAPI and when should I use it?

FastAPI is a modern Python web framework optimized for building APIs quickly using async support and type annotations. Use it when you need high-concurrency I/O performance, automatic API docs, and strong input validation for services like microservices, ML endpoints, or data APIs.

Should I write async or sync endpoints?

If your endpoint performs network or I/O-bound operations (database queries, HTTP calls), async endpoints with awaitable libraries improve concurrency. For CPU-heavy tasks, prefer offloading to background workers or separate services to avoid blocking the event loop.

What are common deployment options for FastAPI?

Common patterns include Uvicorn managed by Gunicorn for process management, containerized deployments on Kubernetes, serverless deployments via providers that support ASGI, and platform-as-a-service options that accept Docker images. Choose based on operational needs and scaling model.

How do I secure FastAPI endpoints?

Implement authentication (OAuth2, JWT, API keys), enforce HTTPS, validate inputs with Pydantic models, and apply rate limiting. Use security headers and monitor logs for suspicious activity. Consider using API gateways for centralized auth and throttling.

How should I monitor and debug FastAPI in production?

Instrument endpoints with structured logging, distributed tracing, and metrics (request latency, error rates). Use APM tools compatible with ASGI frameworks. Configure health checks, and capture exception traces to diagnose errors without exposing sensitive data.

How do I test FastAPI applications?

Use the TestClient from FastAPI (built on Starlette) for endpoint tests, and pytest for unit tests. Include schema validation tests, contract tests for public APIs, and performance tests with k6 or Locust for load characterization.

Disclaimer: This article is educational and technical in nature. It explains development patterns, architecture choices, and tooling options for API design and deployment. It is not financial, trading, or investment advice. Always conduct independent research and follow your organizations compliance policies when integrating external data or services.

Research

Building High-Performance APIs with FastAPI

Token Metrics Team
5
MIN

FastAPI has emerged as a go-to framework for building fast, scalable, and developer-friendly APIs in Python. Whether you are prototyping a machine learning inference endpoint, building internal microservices, or exposing realtime data to clients, understanding FastAPI’s design principles and best practices can save development time and operational costs. This guide walks through the technology fundamentals, pragmatic design patterns, deployment considerations, and how to integrate modern AI tools safely and efficiently.

Overview: What Makes FastAPI Fast?

FastAPI is built on Starlette for the web parts and Pydantic for data validation. It leverages Python’s async/await syntax and ASGI (Asynchronous Server Gateway Interface) to handle high concurrency with non-blocking I/O. Key features that contribute to its performance profile include:

  • Async-first architecture: Native support for asynchronous endpoints enables efficient multiplexing of I/O-bound tasks.
  • Automatic validation and docs: Pydantic-based validation reduces runtime errors and generates OpenAPI schemas and interactive docs out of the box.
  • Small, focused stack: Minimal middleware and lean core reduce overhead compared to some full-stack frameworks.

In practice, correctly using async patterns and avoiding blocking calls (e.g., heavy CPU-bound tasks or synchronous DB drivers) is critical to achieve the theoretical throughput FastAPI promises.

Design Patterns & Best Practices

Adopt these patterns to keep your FastAPI codebase maintainable and performant:

  1. Separate concerns: Keep routing, business logic, and data access in separate modules. Use dependency injection for database sessions, authentication, and configuration.
  2. Prefer async I/O: Use async database drivers (e.g., asyncpg for PostgreSQL), async HTTP clients (httpx), and async message brokers when possible. If you must call blocking code, run it in a thread pool via asyncio.to_thread or FastAPI’s background tasks.
  3. Schema-driven DTOs: Define request and response models with Pydantic to validate inputs and serialize outputs consistently. This reduces defensive coding and improves API contract clarity.
  4. Version your APIs: Use path or header-based versioning to avoid breaking consumers when iterating rapidly.
  5. Pagination and rate limiting: For endpoints that return large collections, implement pagination and consider rate-limiting to protect downstream systems.

Applying these patterns leads to clearer contracts, fewer runtime errors, and easier scaling.

Performance Tuning and Monitoring

Beyond using async endpoints, real-world performance tuning focuses on observability and identifying bottlenecks:

  • Profiling: Profile endpoints under representative load to find hotspots. Tools like py-spy or Scalene can reveal CPU vs. I/O contention.
  • Tracing and metrics: Integrate OpenTelemetry or Prometheus to gather latency, error rates, and resource metrics. Correlate traces across services to diagnose distributed latency.
  • Connection pooling: Ensure database and HTTP clients use connection pools tuned for your concurrency levels.
  • Caching: Use HTTP caching headers, in-memory caches (Redis, Memcached), or application-level caches for expensive or frequently requested data.
  • Async worker offloading: Offload CPU-heavy or long-running tasks to background workers (e.g., Celery, Dramatiq, or RQ) to keep request latency low.

Measure before and after changes. Small configuration tweaks (worker counts, keepalive settings) often deliver outsized latency improvements compared to code rewrites.

Deployment, Security, and Scaling

Productionizing FastAPI requires attention to hosting, process management, and security hardening:

  • ASGI server: Use a robust ASGI server such as Uvicorn or Hypercorn behind a process manager (systemd) or a supervisor like Gunicorn with Uvicorn workers.
  • Containerization: Containerize with multi-stage Dockerfiles to keep images small. Use environment variables and secrets management for configuration.
  • Load balancing: Place a reverse proxy (NGINX, Traefik) or cloud load balancer in front of your ASGI processes to manage TLS, routing, and retries.
  • Security: Validate and sanitize inputs, enforce strict CORS policies, and implement authentication and authorization (OAuth2, JWT) consistently. Keep dependencies updated and monitor for CVEs.
  • Autoscaling: In cloud environments, autoscale based on request latency and queue depth. For stateful workloads or in-memory caches, ensure sticky session or state replication strategies.

Combine operational best practices with continuous monitoring to keep services resilient as traffic grows.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

FAQ: How fast is FastAPI compared to Flask or Django?

FastAPI often outperforms traditional WSGI frameworks like Flask or Django for I/O-bound workloads because it leverages ASGI and async endpoints. Benchmarks depend heavily on endpoint logic, database drivers, and deployment configuration. For CPU-bound tasks, raw Python performance is similar; offload heavy computation to workers.

FAQ: Should I rewrite existing Flask endpoints to FastAPI?

Rewrite only if you need asynchronous I/O, better schema validation, or automatic OpenAPI docs. For many projects, incremental migration or adding new async services is a lower-risk approach than a full rewrite.

FAQ: How do I handle background tasks and long-running jobs?

Use background workers or task queues (Celery, Dramatiq) for long-running jobs. FastAPI provides BackgroundTasks for simple fire-and-forget operations, but distributed task systems are better for retries, scheduling, and scaling.

FAQ: What are common pitfalls when using async in FastAPI?

Common pitfalls include calling blocking I/O inside async endpoints (e.g., synchronous DB drivers), not using connection pools properly, and overusing threads. Always verify that third-party libraries are async-compatible or run them in a thread pool.

FAQ: How can FastAPI integrate with AI models and inference pipelines?

FastAPI is a good fit for serving model inference because it can handle concurrent requests and easily serialize inputs and outputs. For heavy inference workloads, serve models with dedicated inference servers (TorchServe, TensorFlow Serving) or containerized model endpoints and use FastAPI as a thin orchestration layer. Implement batching, request timeouts, and model versioning to manage performance and reliability.

Disclaimer

This article is educational and technical in nature. It does not provide investment, legal, or professional advice. Evaluate tools and design decisions according to your project requirements and compliance obligations.

Research

Fast, Reliable APIs with FastAPI

Token Metrics Team
5
MIN

Fast API design is no longer just about response time — it’s about developer ergonomics, safety, observability, and the ability to integrate modern AI services. FastAPI (commonly referenced by the search phrase "fast api") has become a favored framework in Python for building high-performance, async-ready APIs with built-in validation. This article explains the core concepts, best practices, and deployment patterns to help engineering teams build reliable, maintainable APIs that scale.

Overview: What makes FastAPI distinct?

FastAPI is a Python web framework built on top of ASGI standards (like Starlette and Uvicorn) that emphasizes developer speed and runtime performance. Key differentiators include automatic request validation via Pydantic, type-driven documentation (OpenAPI/Swagger UI generated automatically), and first-class async support. Practically, that means less boilerplate, clearer contracts between clients and servers, and competitive throughput for I/O-bound workloads.

Async model and performance considerations

At the heart of FastAPI’s performance is asynchronous concurrency. By leveraging async/await, FastAPI handles many simultaneous connections efficiently, especially when endpoints perform non-blocking I/O such as database queries, HTTP calls to third-party services, or interactions with AI models. Important performance factors to evaluate:

  • ASGI server choice: Uvicorn and Hypercorn are common; tuning workers and loop settings affects latency and throughput.
  • Blocking calls: Avoid CPU-bound work inside async endpoints; offload heavy computation to worker processes or task queues.
  • Connection pooling: Use async database drivers and HTTP clients (e.g., asyncpg, httpx) with pooled connections to reduce latency.
  • Metrics and profiling: Collect request duration, error rates, and concurrency metrics to identify hotspots.

Design patterns: validation, schemas, and dependency injection

FastAPI’s integration with Pydantic makes data validation explicit and type-driven. Use Pydantic models for request and response schemas to ensure inputs are sanitized and outputs are predictable. Recommended patterns:

  • Separate DTOs and domain models: Keep Pydantic models for I/O distinct from internal database or business models to avoid tight coupling.
  • Dependencies: FastAPI’s dependency injection simplifies authentication, database sessions, and configuration handling while keeping endpoints concise.
  • Versioning and contracts: Expose clear OpenAPI contracts and consider semantic versioning for breaking changes.

Integration with AI services and external APIs

Many modern APIs act as orchestrators for AI models or third-party data services. FastAPI’s async-first design pairs well with calling model inference endpoints or streaming responses. Practical tips when integrating AI services:

  • Use async clients to call external inference or data APIs to prevent blocking the event loop.
  • Implement robust timeouts, retries with backoff, and circuit breakers to handle intermittent failures gracefully.
  • Cache deterministic responses where appropriate, and use paginated or streaming responses for large outputs to reduce memory pressure.

Deployment, scaling, and observability

Deploying FastAPI to production typically involves containerized ASGI servers, an API gateway, and autoscaling infrastructure. Core operational considerations include:

  • Process model: Run multiple Uvicorn workers per host for CPU-bound workloads or use worker pools for synchronous tasks.
  • Autoscaling: Configure horizontal scaling based on request latency and queue length rather than CPU alone for I/O-bound services.
  • Logging and tracing: Integrate structured logs, distributed tracing (OpenTelemetry), and request/response sampling to diagnose issues.
  • Security: Enforce input validation, rate limiting, authentication layers, and secure secrets management.

Build Smarter Crypto Apps & AI Agents with Token Metrics

Token Metrics provides real-time prices, trading signals, and on-chain insights all from one powerful API. Grab a Free API Key

What is the difference between FastAPI and Flask?

FastAPI is built for the async ASGI ecosystem and emphasizes type-driven validation and automatic OpenAPI documentation. Flask is a synchronous WSGI framework that is lightweight and flexible but requires more manual setup for async support, validation, and schema generation. Choose based on concurrency needs, existing ecosystem, and developer preference.

When should I use async endpoints in FastAPI?

Use async endpoints when your handler performs non-blocking I/O such as database queries with async drivers, external HTTP requests, or calls to async message brokers. For CPU-heavy tasks, prefer background workers or separate services to avoid blocking the event loop.

How do Pydantic models help with API reliability?

Pydantic enforces input types and constraints at the boundary of your application, reducing runtime errors and making APIs self-documenting. It also provides clear error messages, supports complex nested structures, and integrates tightly with FastAPI’s automatic documentation.

What are common deployment pitfalls for FastAPI?

Common issues include running blocking code in async endpoints, inadequate connection pooling, missing rate limiting, and insufficient observability. Ensure proper worker/process models, async drivers, and graceful shutdown handling when deploying to production.

How can I test FastAPI applications effectively?

Use FastAPI’s TestClient (based on Starlette’s testing utilities) for endpoint tests and pytest for unit and integration tests. Mock external services and use testing databases or fixtures for repeatable test runs. Also include load testing to validate performance under expected concurrency.

Is FastAPI suitable for production-grade microservices?

Yes. When combined with proper patterns—type-driven design, async-safe libraries, containerization, observability, and scalable deployment—FastAPI is well-suited for production microservices focused on I/O-bound workloads and integrations with AI or external APIs.

Disclaimer

This article is for educational and informational purposes only. It does not constitute professional, legal, or investment advice. Evaluate tools and architectures according to your organization’s requirements and consult qualified professionals when needed.

Recent Posts

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Announcements

Token Metrics Crypto API and Windsurf Integration: Unlock Hidden Crypto Signals for Smarter Trading

Token Metrics Team
8 min
MIN

In today’s crypto market, raw data isn’t enough. Speed isn’t enough. What you need is insight.

That’s why we’re excited to unveil a game-changing integration: Token Metrics Crypto API now powers an ultra-fast, AI-driven crypto analytics platform—supercharged by Windsurf Coding Agent automation. This isn’t just another crypto dashboard. It’s a real-time intelligence engine designed for traders, funds, and crypto builders who demand an edge.

The Problem with Most Crypto Dashboards

Most crypto dashboards simply pull price data and display it. But serious traders know that price alone doesn’t tell the full story. You need context. You need predictive signals. You need advanced analytics that go beyond surface-level charts.

The Token Metrics Crypto API changes that.

By combining cutting-edge AI models with deep on-chain and market data, the Token Metrics API delivers the kind of actionable intelligence that traditional platforms can’t match.

The Power of Token Metrics API

At the heart of this new platform lies the Token Metrics API — widely regarded by traders and funds as the best crypto API available today.

Here’s why:

✅ Real-Time AI Insights

The Token Metrics API delivers real-time valuations, grades, risk metrics, and momentum signals—powered by sophisticated AI and machine learning models analyzing thousands of crypto assets.

✅ Predictive Token Ratings

Leverage Investor Grade and Trader Grade rankings to see which tokens are gaining momentum — before the market fully reacts.

✅ Quant Metrics & Risk Analysis

Access volatility scores, Sharpe ratios, value-at-risk metrics, and drawdown analysis to manage risk with precision.

✅ Clustering & Sentiment Analysis

Identify hidden relationships between tokens using real-time clustering and on-chain sentiment analysis.

✅ Full Market Coverage

Whether you trade altcoins, L1 ecosystems, DeFi, or memecoins — the Token Metrics Crypto API covers thousands of assets across multiple chains.

This depth of data allows the platform to do far more than just monitor prices — it discovers patterns, clusters, momentum shifts, and early market signals in real-time.

How Windsurf Coding Agent Unlocks New Possibilities

To build a truly responsive and adaptive crypto intelligence platform, we leveraged Windsurf Coding Agent automation. Windsurf allows us to ship new dashboards, signals, and features in hours—not weeks.

As crypto markets evolve rapidly, speed to insight becomes critical. With Windsurf’s agent-driven automation, we can prototype, iterate, and deploy new AI models and data visualizations faster than any traditional development cycle allows.

  • 🔄 New momentum indicators can be developed overnight
  • 🔄 Cluster algorithms can be recalibrated instantly
  • 🔄 Dashboards respond live to market shifts

This makes the entire system fluid, adaptive, and always tuned to the latest market behavior.

Not Just Another Dashboard — A Real-Time AI Engine

This isn’t your average crypto dashboard.

Every data point is analyzed, filtered, and rendered within milliseconds. As soon as the Token Metrics API delivers updated data, the platform processes it through real-time clustering, momentum scoring, and risk analysis.

The result? A blazingly fast, AI-powered crypto dashboard that gives you insights while your competition is still refreshing price feeds.

Platform Highlights:

  • Real-Time Market Trends:
     See market shifts as they happen, not minutes later.

  • Hidden Cluster Discovery:
     Identify which tokens are moving together before major narratives emerge.

  • Smart Momentum Signals:
     Detect early breakout signals across DeFi, AI, RWA, Memes, and other sectors.

  • Token Ratings & Sentiment:
     Get automated Investor Grades, Trader Grades, and community sentiment scoring.

  • Built-in AI Analysis Engine:
     Summary insights are auto-generated by AI to make complex data immediately actionable.

Turning Complexity Into Clarity

Crypto markets generate overwhelming amounts of data — price swings, liquidity changes, on-chain flows, funding rates, sentiment shifts, and more.

The Token Metrics + Windsurf integration filters that noise into clear, actionable signals. Whether you’re:

  • A crypto fund manager seeking alpha
  • An algorithmic trader hunting momentum
  • A community builder wanting to inform your Discord or Telegram group
  • A developer creating your own crypto trading bots or dashboards

... this platform turns complexity into clarity.

The signal is out there. We help you find it.

Why Token Metrics API is the Best Crypto API for Builders

When evaluating crypto APIs, most traders and developers face the same issues: incomplete data, poor documentation, limited endpoints, or stale updates. The Token Metrics API stands apart as the best crypto API for several key reasons:

1️⃣ Comprehensive Data Coverage

The Token Metrics API covers over 6,000 crypto assets across major chains, sectors, and narratives.

2️⃣ AI-Driven Metrics

Unlike other crypto APIs that only provide raw market data, Token Metrics delivers pre-calculated AI insights including:

  • Trader & Investor Grades
  • Bullish/Bearish Signals
  • Quantitative Rsk Metrics
  • Sentiment Scores
  • Support & Resistance Levels

3️⃣ Developer Friendly

The API is fully documented, REST-based, and easily integrates with platforms like Windsurf, Zapier, and custom trading systems.

4️⃣ Instant Updates

Data is refreshed continuously to ensure you’re always working with the latest available insights.

This makes the Token Metrics crypto API ideal for:

  • Building automated trading agents
  • Developing AI-powered dashboards
  • Running quant research pipelines
  • Powering Discord/Telegram trading bots
  • Creating crypto advisory tools for funds or DAOs

Example Use Case: Proactive Cluster Monitoring

Imagine this:

You’re managing a portfolio with exposure to several DeFi tokens. The platform detects that several mid-cap DeFi projects are clustering together with rising momentum scores and improving Investor Grades. Within seconds, your dashboard flashes an early “sector breakout” signal.

By the time social media narratives catch on hours or days later — you’re already positioned.

This is the edge that real-time AI-driven analytics delivers.

What You Can Build With Token Metrics API + Windsurf

The possibilities are nearly endless:

  • Fully autonomous AI trading agents
  • Real-time risk management dashboards
  • Community-facing Discord or Telegram bots
  • Investor-grade weekly market reports
  • Live streaming momentum monitors
  • Institutional quant analysis tools

And because Windsurf Coding Agent automates development, these solutions can evolve rapidly as new narratives, tokens, and market behaviors emerge.

Start Building Your Edge Today

If you’re serious about staying ahead in crypto, you need more than just prices—you need intelligence.

The combination of Token Metrics API and Windsurf’s automation delivers the fastest, smartest way to build your own crypto intelligence systems.

➤ Sign up for Token Metrics

➤ Get API access

➤ Start building with Windsurf
‍
Turn data into insights. Turn insights into profits.

Click here to view the demo!

Conclusion: The Future of Crypto Analytics Is Here

The days of static dashboards and delayed signals are over. The future belongs to platforms that deliver real-time, AI-powered, adaptive crypto intelligence.

With Token Metrics Crypto API and Windsurf Coding Agent, you have the tools to build that future—today.

Announcements

Build AI-Powered Crypto Trading Bots in Minutes: Token Metrics Partners with Cline for Seamless Crypto API Integration

Token Metrics Team
8 min
MIN

Combine the Best Crypto API with Cline’s AI Coding Environment to Automate Smarter Trades—Faster

The world of crypto development just leveled up.

We're excited to announce a powerful new integration between Token Metrics and Cline (via the Roo Code extension)—bringing together the most advanced crypto API on the market and an AI-native coding environment purpose-built for building and testing crypto trading bots.

This partnership unlocks the ability to rapidly prototype, test, and launch intelligent trading strategies using real-time data from Token Metrics directly inside Cline, making it easier than ever for developers and traders to build in the crypto economy.

In this post, we’ll show you exactly how this works, walk through a working example using the Hyperliquid token, and explain why Token Metrics is the best crypto API to use with Cline for next-gen trading automation.

What Is Cline (Roo Code)?

Cline is an AI-first coding assistant designed to turn ideas into code through conversational prompts. With the Roo Code extension in Visual Studio Code, Cline transforms your IDE into an AI-native environment, allowing you to:

  • Write and debug code using natural language
  • Chain tools and APIs together with zero setup
  • Backtest and optimize strategies within a single flow

By integrating Token Metrics’ cryptocurrency API through its MCP (Multi-Client Protocol) server, developers can access real-time grades, trading signals, quant metrics, and risk insights—all through AI-driven prompts.

This combo of live crypto data and AI-native coding makes Cline one of the fastest ways to build trading bots today.

What Is Token Metrics MCP & API?

The Token Metrics API is the ultimate toolkit for crypto developers. It's a high-performance, developer-focused crypto API that gives you:

  • AI-powered Trader & Investor Grades
  • Buy/Sell Signals for bull/bear market detection
  • Support & Resistance Levels
  • Sentiment Analysis
  • Quantitative Metrics including ROI, performance vs. BTC, and more
  • Full Token Reports & Rankings

These features are now accessible via the MCP server—a gateway that standardizes access to Token Metrics data for AI agents, bots, dashboards, and more.

Whether you’re building a Telegram bot, a trading terminal, or a portfolio optimizer, the Token Metrics MCP setup with Cline makes it seamless.

Step-by-Step: Build a Trading Bot in Cline Using Token Metrics

Here’s a walkthrough of how you can build a complete AI-powered trading bot using Cline and the Token Metrics API.

1. Set Up Your Project in Visual Studio Code

Open VS Code and click “Open Folder.” Name your project something fun—like “Hype Bot.”
Then go to the Extensions tab, search for “Roo Code” (the advanced version of Cline), and install it.

2. Connect to the Token Metrics MCP Server

Once installed:

  • Click the MCP icon in the sidebar.
  • Choose “Edit Global MCP.”
  • Visit the official Token Metrics MCP Instructions and copy the full configuration block.
  • Paste it into your global MCP settings in Cline.

🎉 Now your environment is live, and you’re connected to the best crypto API on the market.

3. Explore the API with a Prompt

Inside Cline, simply prompt:

“Explore the Token Metrics API and analyze the Hyperliquid token.”

In seconds, the agent fetches and returns detailed insights—including investor grade, sentiment shifts, trading volume, and support/resistance levels for Hyperliquid. It even detects patterns not visible on typical trading platforms.

4. Generate a Trading Strategy

Next prompt:

“Create a trading strategy using this data.”

The agent responds with a full Python trading script based on AI signals from the API—complete with buy/sell logic, thresholds, and data pipelines.

5. Run Backtests and Analyze Performance

Cline automatically generates a backtest file and plots a performance chart.

For example:

  • Portfolio grew from $10,000 to $10,600
  • 27 trades, with an 18.5% win rate
  • Maximum drawdown of 14%
  • Realistic insights into risk-adjusted returns

This is real-time data, real code, real results—all built through a few smart prompts.

Why This Partnership Matters

🔗 Natural-Language-Powered Crypto Development

No more hours spent reading docs or integrating messy SDKs. With Cline + Token Metrics, you talk to your agent, and it builds the bot, fetches the data, and runs the strategy.

⚙️ Best-in-Class Crypto Market Intelligence

Token Metrics provides professional-grade market signals used by hedge funds, traders, and analysts. With 80+ metrics per token, it’s the most detailed cryptocurrency API available—now accessible to indie devs and builders via Cline.

⚡ Build, Test, Iterate—Fast

Backtesting, strategy generation, and data access happen within seconds. This drastically cuts time-to-market for MVPs, AI assistants, and algo bots.

Use Cases You Can Build

  • Hype Token Trading Bots – Surf emerging narratives like Memecoins, RWA, or AI.
  • Risk-Managed Portfolios – Adjust exposure based on grades and market phases.
  • Discord/Telegram Bots – Stream top-performing tokens with real-time buy alerts.
  • CEX/DEX Strategy Automation – Monitor performance across centralized and decentralized exchanges.
  • Quant Research Dashboards – Power internal tools with Token Metrics data for investment committees or research teams.

Why Token Metrics Is the Best Crypto API for Cline Developers

  • ✅ Built for AI Workflows – Easy to use via prompts, structured for agent consumption.
  • ✅ Real-Time Coverage – Stay updated on narrative-driven tokens before they pump.
  • ✅ Secure & Scalable – Use API keys, MCP servers, and secure backtest environments.
  • ✅ Free to Start – Includes 5,000 free API calls so you can build before committing.

Final Thoughts

The future of building in crypto is agent-driven, data-rich, and fast.

This integration between Token Metrics and Cline proves that with the right tools, anyone can turn an idea into a trading bot in under 10 minutes—using real-time market data, AI-grade analysis, and seamless backtesting in one workflow.

No manual coding. No noise. Just results.

Start building smarter bots today:
👉 Get your API Key on Token Metrics
 👉 Install Roo Code and connect Cline

Watch demo here!

Let’s build the next generation of crypto trading together.

Announcements

Transforming Crypto AI Trading: Token Metrics Crypto API Now Integrates Seamlessly with Cursor AI

Token Metrics Team
8 min
MIN

AI is transforming the future of AI crypto trading—and with the integration of Token Metrics Crypto API and Cursor AI, we’re taking another giant leap forward.

This integration unlocks the ability for developers, quants, and crypto-native builders to create powerful trading agents using natural language, real-time crypto market data, and automation—all through a single interface.

Whether you're building an AI agent that monitors market trends, provides trading signals, or develops actionable investment plans, the combination of Token Metrics' cryptocurrency API and Cursor AI’s intelligent prompt interface is the future of how crypto strategies are built and executed.

In this blog, we’ll walk you through the integration, show you what’s possible, and explain why this is the most developer-friendly and data-rich crypto API available today.

What Is the Token Metrics Crypto API?

The Token Metrics API is a developer-grade crypto API that delivers over 80 advanced signals and data points per token. It covers:

  • AI Trader Grades & Investor Grades
  • Buy/Sell Signals based on bull/bear market trends
  • Support & Resistance levels
  • Sentiment Analysis
  • Quantitative Metrics & ROI Data
  • Project Reports & Risk Ratings

With deep market insight and predictive analytics, it’s built for developers looking to power anything from crypto dashboards to automated trading agents, telegram bots, or custom portfolio apps.

Now, with the Cursor AI integration, all of this power is just one conversation away.

What Is Cursor AI?

Cursor AI is an advanced AI development environment where agents can write code, test ideas, and build applications based on natural language prompts. With support for live API integrations and tool chaining, it’s the perfect platform to build and deploy intelligent agents—without switching tabs or writing boilerplate code.

Now, developers can query live cryptocurrency API data from Token Metrics using natural language—and let the agent create insights, strategies, and trading logic on the fly.

What You Can Build: Real Example

Let’s walk through what building with Token Metrics on Cursor AI looks like.

Step 1: Prompt the Agent

It starts with a simple prompt:
“What are the tools you have for Token Metrics MCP?”

In seconds, the agent replies with the full toolkit available via Token Metrics Multi-Client Protocol (MCP), including:

  • Access to trader and investor grades
  • Market analysis and real-time predictions
  • Quantitative metrics and token reports
  • AI-driven sentiment and momentum scores

Step 2: Ask for a Use Case

Next, you say:
“Give me a trading agent idea using those tools.”

The agent responds by combining crypto API tools into an actionable concept—for instance, a trading assistant that monitors bull flips on high-ROI tokens, cross-checks sentiment, and then alerts you when investor and trader grades align.

Step 3: Build a Plan Using Live Data

Then you prompt again:
“Can you explore the tools and create a comprehensive plan for me?”

Here’s the magic: the agent pulls real-time data directly from the Token Metrics API, analyzes signals, ranks tokens, identifies top performers, and builds a structured trading plan with entry/exit logic.

No manual research. No spreadsheet wrangling.
Just clean, fast, and intelligent crypto trading strategy—generated by AI using the best crypto API on the market.

Why This Changes Everything

🔗 Unified AI & Data Stack

With Token Metrics + Cursor AI, developers can interact with crypto data using plain English. There’s no more need to juggle raw JSON files or multiple APIs. One schema, one key, full access.

⚡ Real-Time, Actionable Insights

Cursor agents can now fetch live signals and respond instantly, allowing you to create agents that trade, monitor, alert, and adapt based on changing market conditions.

🤖 Build AI Trading Agents in Minutes

From backtesting tools to investment advisors to portfolio rebalancers, the combined power of a smart agent and a smart API turns hours of coding into a few well-written prompts.

Why Token Metrics API Is the Best Crypto API for AI Agents

  • Built for Speed – Fast response times and optimized endpoints for seamless agent-to-agent communication.
  • AI-Ready Structure – The API was designed with machine learning and automated trading in mind.
  • Massive Coverage – Thousands of tokens, over 80+ data points per asset.
  • MCP Gateway – Unified interface for all AI tools to access one consistent schema.
  • Free Tier – Get started with 5,000 free API calls at Token Metrics.

Whether you're building your first crypto trading bot or an enterprise-grade RAG assistant, this integration unlocks full creative and technical freedom.

Final Thoughts

This is just the beginning.

By connecting the Token Metrics API with Cursor AI, we’re moving toward a future where crypto tools are built by conversation, not code. It's not just about faster development—it’s about smarter, more adaptive trading tools that are accessible to everyone.

So go ahead.
Open up Cursor AI.
Type your first prompt.
And start building with the most intelligent crypto API in the game.

👉 Explore the Token Metrics API

👉 Start Building with Cursor AI

Watch Demo here!

Research

Top Crypto Trading Platforms in 2025

Token Metrics Team
10 min
MIN

Is the cryptocurrency market continues to mature, new technologies are emerging to give traders an edge. Among the most transformative is AI-powered crypto trading. From automating strategies to identifying hidden opportunities, AI is redefining how traders interact with digital assets.

In this guide, we’ll break down:

  • What is AI crypto trading?
  • What are the different types of cryptocurrency trading?
  • The top crypto trading exchanges and platforms, with Token Metrics as the leading AI crypto trading option.

What is AI Crypto Trading?

AI crypto trading refers to the use of artificial intelligence (AI), machine learning (ML), and data science techniques to make smarter, faster, and more informed trading decisions in the cryptocurrency markets.

These systems analyze vast datasets—price charts, market sentiment, technical indicators, social media trends, on-chain activity—to generate trading signals, price predictions, and portfolio strategies. The goal: remove emotion and bias from crypto trading and replace it with data-driven precision.

Some AI crypto trading tools offer:

  • Predictive analytics for token performance
  • Real-time trading signals based on pattern recognition
  • Automated execution of buy/sell orders based on predefined strategies
  • Portfolio optimization using volatility and correlation models
  • Sentiment analysis from Twitter, Reddit, and news feeds

AI is especially valuable in the 24/7 crypto markets, where human traders can’t keep up with constant volatility. With AI, traders can react instantly to market shifts and make decisions grounded in data—not gut feeling.

What Are the Types of Cryptocurrency Trading?

Understanding the major types of cryptocurrency trading is essential for choosing the right strategy—especially if you’re planning to use AI to assist or automate your trades.

1. Spot Trading

Spot trading is the simplest and most common form of crypto trading. You buy or sell a cryptocurrency at its current price, and the transaction settles immediately (or “on the spot”). Most traders begin here.

AI can assist by identifying ideal entry and exit points, evaluating token grades, and managing risk.

2. Futures Trading

Futures trading involves contracts that speculate on the future price of a cryptocurrency. Traders can go long or short, using leverage to amplify gains (and risks).

AI helps by identifying bullish or bearish trends, backtesting strategies, and automating trades with quantitative models that adapt to market changes.

3. Margin Trading

Margin trading allows users to borrow funds to increase their trade size. It’s risky but potentially more rewarding.

AI can reduce some of the risks by using real-time volatility data, calculating stop-loss levels, and dynamically adjusting positions.

4. Swing Trading

Swing traders hold positions for days or weeks, capturing short- to medium-term trends.

AI tools are ideal for swing trading, as they can combine technical indicators, market sentiment, and volume analysis to anticipate breakouts and reversals.

5. Day Trading

Day traders open and close positions within a single day, requiring rapid decision-making and constant monitoring.

Here, AI-powered bots can outperform humans by making thousands of micro-decisions per second, reducing slippage and emotional trading errors.

6. Algorithmic and Bot Trading

Algorithmic trading uses coded strategies to automate trades. AI takes this further by allowing the bot to learn and improve over time.

Token Metrics, for example, offers AI grades and indices that traders can plug into their own bots or use through the platform’s native AI strategies.

Top Cryptocurrency Trading Exchanges

When it comes to crypto trading platforms, there are two main categories:

  • Exchanges where you buy, sell, and hold crypto
  • Analytics platforms that help you decide what to trade and when

Below are some of the top cryptocurrency trading platforms in 2025—both exchanges and AI-powered tools—tailored to serious traders:

1. Token Metrics – The #1 AI Crypto Trading Platform

Token Metrics is not an exchange, but a crypto analytics and trading intelligence platform powered by AI. It offers:

  • Trader & Investor Grades (AI-powered scoring of tokens)
  • Bullish/Bearish Signals
  • Portfolio Strategies via AI Indices
  • Custom Alerts for price and grade movements
  • Data API for building AI trading bots

Token Metrics bridges the gap between raw data and actionable decisions. Whether you’re a beginner or a pro running algorithmic strategies, Token Metrics delivers the AI layer needed to outperform the market.

Traders use Token Metrics alongside centralized exchanges (like Binance or Coinbase) or DEXs to validate trades, identify top-performing narratives, and automate entry/exit based on AI signals.

2. Binance

Binance is the largest crypto exchange by volume, offering thousands of trading pairs, margin, and futures trading. While it doesn’t offer native AI tools, many traders integrate Binance with AI bots using their API.

Use Token Metrics + Binance together for AI-informed execution on a high-liquidity exchange.

3. Coinbase

Coinbase is ideal for retail investors and new traders. While it lacks advanced AI features, it’s a trusted fiat gateway.

Advanced users can subscribe to Coinbase Advanced or integrate with tools like Token Metrics to make smarter trading decisions.

4. Bybit

Bybit offers both spot and derivatives, plus social trading tools like copy trading. It’s popular with swing and leverage traders.

Combine Bybit with Token Metrics for AI-driven entry points on high-volatility setups.

5. Kraken

Kraken is known for strong security and a transparent track record. It supports spot, margin, and futures trading.

When paired with AI tools, Kraken becomes a secure execution venue for data-driven strategies.

6. OKX

OKX offers robust bot features, including grid trading and DCA bots. For users who prefer built-in automation, OKX is a solid option.

Still, Token Metrics outperforms on signal generation, narrative tracking, and AI-backed token scoring—making it an ideal data source for OKX bots.

Why AI is the Future of Crypto Trading

As cryptocurrency trading evolves, manual strategies alone can’t keep up. Market cycles are faster, token launches are more frequent, and volatility is constant. This is where crypto AI trading shines.

Here’s why more traders are adopting AI:

  • Speed: AI analyzes and reacts faster than any human
  • Scale: It can monitor 1,000s of tokens across multiple chains simultaneously
  • Emotionless: AI doesn’t panic-sell or FOMO-buy
  • Backtested: Strategies are tested on historical data for statistical confidence
  • Adaptive: AI learns and improves over time based on market behavior

Platforms like Token Metrics make this technology accessible—offering plug-and-play AI indices, custom signals, and portfolio intelligence for retail traders, funds, and institutions alike.

Final Thoughts

Cryptocurrency trading is becoming more competitive, data-driven, and automated. With the rise of crypto AI trading, traders now have the tools to gain a true edge—whether they’re investing $100 or managing $1M.

If you’re serious about crypto trading in 2025, don’t just guess—trade with data, trade with AI.

Explore how Token Metrics can power your portfolio with AI-generated insights, real-time signals, and next-generation trading tools.

‍

Announcements

🚀 Token Metrics API Goes Live on Hacker News – The AI Crypto Toolkit for Builders

Token Metrics Team
5 min
MIN

The Token Metrics API has officially launched on Hacker News, marking a major milestone in our mission to bring AI-powered crypto insights to every developer, founder, and builder in the Web3 space.

If you're building trading bots, dashboards, investment tools, or AI agents that interact with the crypto market, this is your developer edge in 2025. Forget raw feeds and static charts—this is real-time, AI-grade crypto intelligence available in minutes via a single API key.

What Is the Token Metrics API?

The Token Metrics API is a powerful crypto intelligence engine built for developers who want more than just price data. It combines machine learning, quantitative modeling, and narrative indexing to deliver structured signals that help users make smarter trading decisions.

Instead of simply showing what the market did, the API helps predict what it might do—with insights like:

  • Trader & Investor Grades (0–100 scores on momentum and fundamentals)
  • Bullish/Bearish Signals across 6,000+ assets
  • Narrative-based Indices like DeFi, AI, Memes, RWAs, and more
  • Quantitative Risk Scores and sentiment analysis
  • Real-time updates, no lag, no stale metrics

It’s like giving your crypto bot a brain—and not just any brain, an AI-trained crypto analyst that never sleeps.

Why It’s Different from Every Other Crypto API

Most APIs give you prices, volume, and maybe some on-chain data. Token Metrics gives you opinionated intelligence derived from over 80 on-chain, off-chain, technical, and sentiment indicators.

That means:

  • Your dashboard users get real-time grades and trending tokens.
  • Your AI agent can speak fluently about token fundamentals.
  • Your bot can act on bullish flips before the rest of the market.

We’ve designed this API for modularity and plug-and-play usability. With 21+ endpoints and official SDKs, you can ship faster and smarter—no custom pipeline needed.

What Can You Build?

Whether you're a solo developer or building inside a Web3 team, the possibilities are wide open.

Build smarter with Token Metrics if you’re creating:

  • 🧠 AI trading agents that query real-time token grades
  • 📊 Investor dashboards that surface top-rated altcoins
  • 📈 DApps that alert users to sector momentum shifts
  • 📱 Mobile apps with embedded market signals
  • 🧪 Backtesting systems for narrative-based portfolio strategies

Because the API supports OpenAI, Claude, Cursor, and Raycast integrations, your agents and LLM-powered tools can query live crypto intelligence in natural language—no additional parsing required.

Why the Hacker News Feature Matters

Token Metrics API just made it to the front page of Hacker News, one of the internet’s most trusted platforms for discovering high-impact developer tools.

This means:

  • 💬 A community of builders and engineers is already testing the API
  • 🧪 Feedback is pouring in, helping us evolve faster
  • 🚀 Your early adoption puts you ahead of the curve

If you’ve been waiting for the right time to integrate AI-native crypto signals into your product—this is it.

Get Started for Free

We’re offering 5,000 free API calls/month for every new developer.

Sign up, plug in your key, and build:

  • With one consistent schema
  • Across multiple clients
  • Without chasing multiple API docs

Your users don’t just want raw data anymore—they want insights. Token Metrics delivers those insights in real time, with zero guesswork.

Join the Developer Revolution

💥 Explore the API – Get your key in 30 seconds
💬 Join the Hacker News discussion – See what other devs are saying
📚 Browse Docs – View full endpoints and SDKs

One API. One schema. Smarter crypto apps.
The future of crypto building is AI-powered—and it starts here.

Research

Bullish or Bearish? Interpreting AI Signals in Today’s Volatile Crypto Market

Token Metrics Team
5 min
MIN

Introduction

Crypto moves fast — and traders who can't read the signs get left behind. But in a market where emotions dominate, how do you distinguish between a real trend and a fakeout? That’s where AI-powered trading signals come in.

Token Metrics AI monitors over 6,000 tokens using 80+ data points, from technical momentum to on-chain activity and social sentiment. Its bullish and bearish signals aren’t just flashes of color — they’re actionable, data-driven insights that can guide decisions in chaotic markets.

In this post, we break down how to interpret bullish and bearish signals, what they’ve been saying recently, and how to react when market direction flips suddenly.

What Are Bullish and Bearish Signals?

Let’s start with the basics:

  • Bullish Signal (Green Dot): Indicates that a token is showing signs of an upward trend based on combined technical, sentiment, and on-chain analysis.
  • Bearish Signal (Red Dot): Suggests that a token is losing momentum, and price downside or stagnation is likely.

But these signals aren’t standalone — they come with contextual grades, like the Trader Grade, which ranks signal strength from 0 to 100. This allows you to not just know the direction, but the confidence behind it.

What Happened Recently? The May 30 Flip

On May 30, 2025, Token Metrics AI issued a broad bearish flip across much of the market. That included:

  • Ethereum
  • Bittensor
  • Launchcoin
  • Many Real World Asset and L2 tokens

The AI signal flipped red, and Trader Grades fell across the board. Why? Here's what the AI detected:

  • Slowing volume
  • Negative sentiment shift
  • Liquidity thinning on DEXs
  • On-chain accumulation stalling

This wasn’t panic-driven — it was a data-driven, proactive warning that the cycle had peaked. In a world where most traders rely on lagging indicators or Twitter sentiment, this was an edge.

How to Interpret a Bullish Signal

A bullish signal isn’t an instant “buy” — it's a call to investigate. Here's what to check when a green dot appears:

✅ 1. Trader Grade Above 80

This means high conviction. If it's between 60–79, the trend is forming, but may lack strength.

✅ 2. Volume Confirmation

Price up + volume up = good. Price up + volume flat = caution.

✅ 3. Narrative Alignment

If the token fits a hot theme (like RWAs or AI), that adds strength to the signal.

✅ 4. Recent Price Action

Did the signal appear after a breakout, or just before? Entry timing depends on whether you're catching the beginning or chasing the middle of the trend.

✅ 5. Compare to Peers

If 3–5 similar tokens are also turning bullish, that indicates sector-wide rotation — a better entry environment.

How to Interpret a Bearish Signal

Red doesn’t mean "dump immediately" — it means it's time to tighten your risk.

❗ 1. Trader Grade Below 50

This indicates deteriorating conviction — exit or reduce exposure.

❗ 2. Volume Divergence

If price is flat but volume is fading, that’s a warning of a potential breakdown.

❗ 3. Signal Timing

Did the bearish flip happen near local highs? That’s often the best exit point.

❗ 4. Check for Repeats

Was this the second red dot in a week? That could confirm a longer-term downtrend.

❗ 5. BTC/ETH Context

If Bitcoin or ETH also flip bearish, it may suggest macro pressure, not just token-specific weakness.

Real-Time Examples from the Webinar

During the June 5 Token Metrics webinar, we walked through examples of how these signals worked in real time:

🟢 Bullish (April) – Launchcoin

Strong signal, grade in the 80s. Resulted in a massive short-term run.

🔴 Bearish (May 30) – Ethereum

Signal turned red around $3,490. Traders who followed it avoided the 55% drawdown that followed.

🔴 Bearish (June) – Fartcoin

After a 700% run-up, the signal flipped bearish with a low Trader Grade of ~24. Result? A slow bleed lower as sentiment cooled.

What Makes AI Signals Different from Traditional TA?

Feature                                                    Token Metrics AI                     Traditional TA

Combines social + on-chain                    ✅                                       ❌

Updated in real time                                 ✅                                       ❌

Machine learning trained on past data   ✅                                       ❌

Outputs confidence grade                       ✅                                       ❌

Adapts to new narratives                         ✅                                       ❌

This isn’t about moving averages or MACD — it’s about combining the entire digital footprint of a token to anticipate what comes next.

How to React to a Signal Flip

What do you do when your favorite token suddenly flips from bullish to bearish?

  1. Reduce exposure immediately — even if you don’t sell everything, cut risk.
  2. Check the Grade — if it’s falling, momentum is likely over.
  3. Watch Peer Tokens — if similar projects are also turning red, it confirms sector rotation.
  4. Set New Alerts — if the signal flips back to green, be ready to re-enter.

Your job isn’t to predict the market. It’s to respond to what the data is saying.

How to Combine AI Signals with a Strategy

Here’s a basic framework:

Entry

  • Bullish signal + Trader Grade > 80 = enter with full size.
  • Grade 60–79 = enter small or wait for confirmation.

Exit

  • Bearish signal = scale out or exit.
  • Grade < 50 = no new positions unless for short trades.

Risk

  • Position size scales with grade.
  • Only trade tokens with high liquidity and volume confirmation.

This keeps your system simple, repeatable, and data-driven.

Conclusion

In volatile markets, conviction matters. Token Metrics AI doesn’t just point up or down — it tells you how strong the trend is, how likely it is to last, and when it’s time to pivot.

Don’t trade on emotions. Don’t chase hype. Use the signals — and trust the grade.

Because in a market that never sleeps, it pays to have an AI watching your back.

Research

Crypto Market Cools Off: What Is Token Metrics AI Saying Now

Token Metrics Team
5 min
MIN

Introduction

The euphoria of April and May in the crypto market has officially hit the brakes. While traders were riding high just weeks ago, the mood has shifted — and the data confirms it. Token Metrics’ proprietary AI signals flipped bearish on May 30, and since then, the market has been slowly but steadily declining.

In this post, we break down what’s happened since the bearish signal, how major altcoins and sectors are reacting, and what Token Metrics’ indicators are telling us about what might come next.

The Big Picture: Cooling Off After a Hot Q1 and Q2 Start

The platform’s AI signal turned bearish on May 30 when the total crypto market cap hit $3.34 trillion. Since then, the momentum that defined early 2025 has reversed.

This wasn’t a sudden crash — it’s a slow bleed. The signal shift didn’t come from headline-driven panic, but from data-level exhaustion: volume softening, sentiment stalling, and trend strength fading across most tokens.

Token Metrics AI recognized the shift — and issued the warning.

What the Bearish Signal Means

The AI model analyzes over 80 metrics across price, volume, sentiment, and on-chain data. When key trends across these data sets weaken, the system flips from bullish (green) to bearish (red).

On May 30:

  • Trader Grades across most tokens declined
  • Signal sentiment flipped bearish
  • Momentum and velocity cooled down

According to the model, these were signs of a broad de-risking cycle — not just isolated weakness.

Sectors Showing Declines

Even tokens that had been performing well throughout Q2 began to stall or roll over.

🚨 Launch Coin

Previously one of the top performers in April, Launch Coin saw its grades decrease and price action softened.It may even be rebranding — a typical signal that a project is pivoting after a hype cycle.

🏦 Real World Assets (RWAs)

RWAs were hot in March–May, but by early June, volume and signal quality had cooled off significantly.

🔐 ZK and L2s

Projects like Starknet and zkSync, once dominant in trader attention, have seen signal strength drop, with many now scoring below 70.

The cooling effect is broad, touching narratives, sectors, and high-performing individual tokens alike.

The Bull-Bear Indicator in Action

One of the key tools used by Token Metrics is the Bull vs. Bear Indicator, which aggregates bullish vs. bearish signals across all tokens tracked.

As of early June:

  • The percentage of tokens with bullish signals dropped to its lowest since January.
  • New projects launching with strong grades also saw a decline.
  • Even community-favorite tokens began receiving “exit” alerts.

This isn’t fear — it’s fatigue.

How Traders Are Reacting

During the webinar, we noted that many users who rely on Token Metrics signals began rotating into stables once the May 30 signal flipped. Others reduced leverage, paused entries, or shifted into defensive plays like ETH and BTC.

This reflects an important philosophy:

"When the data changes, we change our approach."

Instead of trying to fight the tape or chase rebounds, disciplined traders are using the bearish signal to protect gains and preserve capital.

What About Ethereum and Bitcoin?

Even ETH and BTC, the two bellwether assets, aren’t immune.

  • Ethereum: Lost momentum after a strong May push. Its Trader Grade is dropping, and the AI signals currently reflect neutral-to-bearish sentiment.
  • Bitcoin: While still holding structure better than altcoins, it has also declined since peaking above $72k. Volume weakening and sentiment falling suggest caution.

In previous cycles, ETH and BTC acted as shelters during altcoin corrections. But now, even the majors show weakness — another reason why the bearish flip matters.

What Could Reverse This?

Abdullah Sarwar, head of research at Token Metrics, mentioned that for the signals to flip back bullish, we would need to see:

  • Increased momentum across top tokens
  • New narratives (e.g., real-world utility, cross-chain demand)
  • Higher volume and liquidity inflows
  • Positive macro or ETF news

Until then, the system will remain in defensive mode — prioritizing safety over chasing trades.

How to Act During a Bearish Signal

The team offered several tips for traders during this cooling-off period:

  1. Reduce exposure
     Don’t hold full positions in assets with weak grades or bearish signals.
    ‍
  2. Watch signal reversals
     Keep an eye on sudden bullish flips with high Trader Grades — they often mark trend reversals.
    ‍
  3. Rebalance into safer assets
     BTC, ETH, or even stables allow you to sit on the sidelines while others take unnecessary risk.

  4. Use Token Metrics filters
     Use the platform to filter for:

    • Top tokens with >80 grades
    • Signals that flipped bullish in the last 3 days
    • Low market-cap tokens with strong on-chain activity

These tools help find exceptions in a weak market.

Conclusion: Bearish Doesn’t Mean Broken

Markets cycle — and AI sees it before headlines do.

Token Metrics' bearish signal wasn’t a call to panic. It was a calibrated, data-backed alert that the trend had shifted — and that it was time to switch from offense to defense.

If you’re navigating this new phase, listen to the data. Use the tools. And most importantly, avoid trading emotionally.

The bull market might return. When it does, Token Metrics AI will flip bullish again — and you’ll be ready.

Research

Backtesting Token Metrics AI: Can AI Grades Really Predict Altcoin Breakouts?

Token Metrics Team
5 min
MIN

To test the accuracy of Token Metrics' proprietary AI signals, we conducted a detailed six-month backtest across three different tokens — Fartcoin, Bittensor ($TAO), and Ethereum. Each represents a unique narrative: memecoins, AI infrastructure, and blue-chip Layer 1s. Our goal? To evaluate how well the AI’s bullish and bearish signals timed market trends and price action.

Fartcoin:

The green and red dots on the following Fartcoin price chart represent the bullish and bearish market signals, respectively. Since Nov 26, 2024, Token Metrics AI has given 4 trading signals for Fartcoin. Let’s analyze each signal separately.

‍

‍

The Fartcoin chart above displays green and red dots that mark bullish and bearish signals from the Token Metrics AI, respectively. Over the last six months — starting November 26, 2024 — our system produced four significant trade signals for Fartcoin. Let’s evaluate them one by one.

The first major signal was bullish on November 26, 2024, when Fartcoin was trading at $0.29. This signal preceded a massive run-up, with the price topping out at $2.49. That’s an astounding 758% gain — all captured within just under two months. It’s one of the most powerful validations of the AI model’s ability to anticipate momentum early.

Following that rally, a bearish signal was triggered on January 26, 2025, just before the market corrected. Fartcoin retraced sharply, plunging 74.76% from the highs. Traders who acted on this bearish alert could have avoided substantial drawdowns — or even profited through short-side exposure.

On March 25, 2025, the AI turned bullish again, as Fartcoin traded near $0.53. Over the next several weeks, the token surged to $1.58, a 198% rally. Again, the AI proved its ability to detect upward momentum early.

Most recently, on June 1, 2025, Token Metrics AI flipped bearish once again. The current Trader Grade of 24.34 reinforces this view. For now, the system warns of weakness in the memecoin market — a trend that appears to be playing out in real-time.

Across all four trades, the AI captured both the explosive upside and protected traders from steep corrections — a rare feat in the volatile world of meme tokens.

‍

Bittensor

Next, we examine Bittensor, the native asset of the decentralized AI Layer 1 network. Over the last six months, Token Metrics AI produced five key signals — and the results were a mixed bag but still largely insightful.

In December 2024, the AI turned bearish around $510, which preceded a sharp decline to $314 by February — a 38.4% drawdown. This alert helped traders sidestep a brutal correction during a high-volatility period.

On February 21, 2025, the system flipped bullish, but this trade didn't play out as expected. The price dropped 25.4% after the signal. Interestingly, the AI reversed again with a bearish signal just five days later, showing how fast sentiment and momentum can shift in emerging narratives like AI tokens.

The third signal marked a solid win: Bittensor dropped from $327 to $182.9 following the bearish call — another 44% drop captured in advance.

In April 2025, momentum returned. The AI issued a bullish alert on April 19, with TAO at $281. By the end of May, the token had rallied to over $474, resulting in a 68.6% gain — one of the best performing bullish signals in the dataset.

On June 4, the latest red dot (bearish) appeared. The model anticipates another downward move — time will tell if it materializes, but the track record suggests caution is warranted.

‍

Ethereum

Finally, we analyze the AI’s predictive power for Ethereum, the second-largest crypto by market cap. Over the six-month window, Token Metrics AI made three major calls — and each one captured critical pivots in ETH’s price.

On November 7, 2024, a green dot (bullish) appeared when ETH was priced at $2,880. The price then surged to $4,030 in less than 40 days, marking a 40% gain. For ETH, such a move is substantial and was well-timed.

By December 24, the AI flipped bearish with ETH trading at $3,490. This signal was perhaps the most important, as it came ahead of a major downturn. ETH eventually bottomed out near $1,540 in April 2025, avoiding a 55.8% drawdown for those who acted on the signal.

In May 2025, the AI signaled another bullish trend with ETH around $1,850. Since then, the asset rallied to $2,800, creating a 51% gain.

These three trades — two bullish and one bearish — show the AI’s potential in navigating large-cap assets during both hype cycles and corrections.Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Backtesting Token Metrics AI across memecoins, AI narratives, and Ethereum shows consistent results: early identification of breakouts, timely exit signals, and minimized risk exposure. While no model is perfect, the six-month history reveals a tool capable of delivering real value — especially when used alongside sound risk management.

Whether you’re a trader looking to time the next big altcoin rally or an investor managing downside in turbulent markets, Token Metrics AI signals — available via the fastest crypto API — offer a powerful edge.

Research

Token Metrics API vs. CoinGecko API: Which Crypto API Should You Choose in 2025?

Token Metrics Team
7 min
MIN

As the crypto ecosystem rapidly matures, developers, quant traders, and crypto-native startups are relying more than ever on high-quality APIs to build data-powered applications. Whether you're crafting a trading bot, developing a crypto research platform, or launching a GPT agent for market analysis, choosing the right API is critical.

Two names dominate the space in 2025: CoinGecko and Token Metrics. But while both offer access to market data, they serve fundamentally different purposes. CoinGecko is a trusted source for market-wide token listings and exchange metadata. Token Metrics, on the other hand, delivers AI-powered intelligence for predictive analytics and decision-making.

Let’s break down how they compare—and why the Token Metrics API is the superior choice for advanced, insight-driven builders.

🧠 AI Intelligence: Token Metrics Leads the Pack

At the core of Token Metrics is machine learning and natural language processing. It’s not just a data feed. It’s an AI that interprets the market.

Features exclusive to Token Metrics API:

  • Trader Grade (0–100) – Short-term momentum score based on volume, volatility, and technicals
  • Investor Grade (0–100) – Long-term asset quality score using fundamentals, community metrics, liquidity, and funding
  • Bullish/Bearish AI Signals – Real-time alerts based on over 80 weighted indicators
  • Sector-Based Smart Indices – Curated index sets grouped by theme (AI, DeFi, Gaming, RWA, etc.)
  • Sentiment Scores – Derived from social and news data using NLP
  • LLM-Friendly AI Reports – Structured, API-returned GPT summaries per token
  • Conversational Agent Access – GPT-based assistant that queries the API using natural language

In contrast, CoinGecko is primarily a token and exchange aggregator. It offers static data: price, volume, market cap, supply, etc. It’s incredibly useful for basic info—but it lacks context or predictive modeling.

✅ Winner: Token Metrics — The only crypto API built for AI-native applications and intelligent automation.

🔍 Data Depth & Coverage

While CoinGecko covers more tokens and more exchanges, Token Metrics focuses on providing actionable insights rather than exhaustively listing everything.

Feature                                                   Token Metrics API                                    CoinGecko API

Real-time + historical OHLCV              ✅                                                          ✅

Trader/Investor Grades                        ✅ AI-powered                                     ❌

Exchange Aggregation                         ✅ (Used in indices, not exposed)     ✅

Sentiment & Social Scoring                  ✅ NLP-driven                                     ❌

AI Signals                                               ✅                                                         ❌

Token Fundamentals                            ✅ Summary via deepdive         ⚠️ Limited

                                                                        endpoint

NFT Market Data                                  ❌                                                          ✅

On-Chain Behavior                               ✅ Signals + Indices                   ⚠️ Pro-only (limited)

If you're building something analytics-heavy—especially trading or AI-driven—Token Metrics gives you depth, not just breadth.

✅ Verdict: CoinGecko wins on broad metadata coverage. Token Metrics wins on intelligence and strategic utility.

🛠 Developer Experience

One of the biggest barriers in Web3 is getting devs from “idea” to “prototype” without friction. Token Metrics makes that easy.

Token Metrics API Includes:

  • SDKs for Python, Node.js, and Postman
  • Quick-start guides and GitHub sample projects
  • Integrated usage dashboard to track limits and history
  • Conversational agent to explore data interactively
  • Clear, logical endpoint structure across 21 data types

CoinGecko:

  • Simple REST API
  • JSON responses
  • Minimal docs
  • No SDKs
  • No built-in tooling (must build from scratch)

✅ Winner: Token Metrics — Serious devs save hours with ready-to-go SDKs and utilities.

📊 Monitoring, Quotas & Support

CoinGecko Free Tier:

  • 10–30 requests/min
  • No API key needed
  • Public endpoints
  • No email support
  • Rate limiting enforced via IP

Token Metrics Free Tier:

  • 5,000 requests/month
  • 1 request/min
  • Full access to AI signals, grades, rankings
  • Telegram & email support
  • Upgrade paths to 20K–500K requests/month

While CoinGecko’s no-login access is beginner-friendly, Token Metrics offers far more power per call. With just a few queries, your app can determine which tokens are gaining momentum, which are losing steam, and how portfolios should be adjusted.

✅ Winner: Token Metrics — Better for sustained usage, scaling, and production reliability.

💸 Pricing & Value

Plan Feature                CoinGecko Pro            Token Metrics API

Entry Price                  ~$150/month                $99/month

AI Grades & Signals            ❌                               ✅ 

Sentiment Analytics            ❌                               ✅

Sector Index Insights          ❌                               ✅

NLP Token Summaries       ❌                                ✅

Developer SDKs                  ❌                                ✅

Token-Based Discounts     ❌                                ✅ (up to 35% with $TMAI)

For what you pay, Token Metrics delivers quant models and intelligent signal streams — not just raw price.

✅ Winner: Token Metrics — Cheaper entry, deeper value.

🧠 Use Cases Where Token Metrics API Shines

  • Trading Bots
    Use Trader Grade and Signal endpoints to enter/exit based on AI triggers.
  • GPT Agents
    Generate conversational answers for “What’s the best AI token this week?” using structured summaries.
  • Crypto Dashboards
    Power sortable, filtered token tables by grade, signal, or narrative.
  • Portfolio Rebalancers
    Track real-time signals for tokens held, flag risk zones, and show sector exposure.
  • LLM Plugins
    Build chat-based investment tools with explainability and score-based logic.

🧠 Final Verdict: CoinGecko for Info, Token Metrics for Intelligence

If you're building a crypto price tracker, NFT aggregator, or exchange overview site, CoinGecko is a solid foundation. It’s reliable, broad, and easy to get started.

But if your product needs to think, adapt, or help users make better decisions, then Token Metrics API is in another class entirely.

You're not just accessing data — you're integrating AI, machine learning, and predictive analytics into your app. That’s the difference between showing the market and understanding it.

🔗 Ready to Build Smarter?

  • ✅ 5,000 free API calls/month
  • 🤖 Trader & Investor Grades
  • 📊 Live Bull/Bear signals
  • 🧠 AI-powered summaries and GPT compatibility
  • ⚡ 21 endpoints + Python/JS SDKs

👉 Start with Token Metrics API

New Token Metrics Products

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Build High-Performance APIs with FastAPI

Token Metrics Team
5
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Building High-Performance APIs with FastAPI

Token Metrics Team
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Building High-Performance APIs with FastAPI

Token Metrics Team
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Want exposure to trending crypto themes like DeFi, AI, and Memecoins? Learn about the top sector-based crypto indices in 2025 and how to invest in the best narratives with less risk.
Token Metrics Team
8 min
Crypto Basics
Where Can I Invest in the Crypto Index? Best Platforms to Start in 2025
Looking for the best place to invest in crypto indices in 2025? Discover top platforms like Token Metrics, Bitwise, Index Coop, and more—compared by features, access, and investor type
Token Metrics Team
8 min
Crypto Basics
How Do AI Crypto Indices Work? Inside the Future of Smart Investing
How do AI-powered crypto indices work? Discover how intelligent algorithms analyze real-time data to build and rebalance smarter crypto portfolios—and why they outperform in 2025.
Token Metrics Team
8 min
Crypto Basics
Can AI or Data Tools Help Identify Moonshots?
Learn how AI and data tools like Token Metrics identify crypto moonshots early. Discover how to use AI grading, signals, and momentum analysis to find your next 100x token.
Token Metrics Team
8 min
Crypto Basics
How Risky Are Moonshot Investments?
Explore the risks of investing in crypto moonshots. Learn how to evaluate, manage, and reduce risk while hunting 100x tokens. Backed by Token Metrics insights and AI tools.
Token Metrics Team
8 min
Crypto Basics
Are Moonshots Only Meme Coins?
Are moonshots only about meme coins like DOGE or SHIB? Discover the truth about utility-based moonshots, top-performing non-meme tokens, and how to spot real 100x opportunities.
Token Metrics Team
8 min
Crypto Basics
How Do I Find Moonshot Crypto Projects?
Discover how to spot 100x crypto moonshots before they go viral. Learn tools, signals, and strategies to identify early-stage tokens using Twitter, DEX data, on-chain analysis, and Token Metrics AI.
Token Metrics Team
8 min
Crypto Basics
What is a Moonshot in Crypto?
Discover what a moonshot in crypto really means, how to identify 100x opportunities, the risks involved, and how smart investors find explosive gains in 2025. Powered by Token Metrics insights.
Token Metrics Team
6 min
Crypto Basics
What Is the Best Crypto Index in 2025? Top Performers and How to Choose the Right One
What is the best crypto index in 2025? Discover the top-performing indices, including AI-managed and passive strategies, and learn how to choose the right one for your crypto portfolio.
Token Metrics Team
8 min
Crypto Basics
What Are the Benefits of Crypto Index Investing? Why Smart Investors Choose Indices in 2025
Discover the top benefits of crypto index investing—from diversification and automated rebalancing to trend exposure and risk management. Learn why smart investors are using indices in 2025.
Token Metrics Team
8 min
Crypto Basics
Is Investing in a Crypto Index Safe? A Risk Guide for 2025 Investors
Is investing in a crypto index safe? Discover the risks and benefits of crypto index investing, how AI indices offer better protection, and how to invest smarter in 2025.
Token Metrics Team
8 min
Crypto Basics
How Does a Crypto Index Work? A Deep Dive Into Crypto Index Mechanics
Curious how crypto indices actually work? This guide explains how tokens are selected, weighted, rebalanced, and tracked—so you can invest confidently in 2025’s best crypto index strategies.
Token Metrics Team
8 min
Crypto Basics
Ripple XRP Price Prediction: What’s Next for XRP After Its Bullish Breakout?
Ripple (XRP) has been back in the spotlight after recent market moves—and investors are wondering: Will XRP keep going up?
Token Metrics Team
3 min
Crypto Basics
The Best Cryptocurrencies to Mine in 2025: A Comprehensive Guide
Cryptocurrency mining remains a viable way to earn passive income in 2025. However, with advancements in blockchain technology, changing mining algorithms, and rising energy costs, selecting the best cryptocurrencies to mine has become more complex than ever.
Token Metrics Team
5 mins
Crypto Basics
Unleash AI Alpha: How Traders and Developers Are Dominating with Token Metrics API & SDK
Stay ahead with the Token Metrics AI API & SDK—real-time, AI-powered insights designed to give traders and developers a competitive edge in fast-moving markets.
Token Metrics Team
5 mins
Crypto Basics
Token Metrics Launches Its API & SDK: Fueling the Future of Crypto Trading Agents
Builders can now utilize all the data and analytics from Token Metrics with our API and SDK launch!
Token Metrics Team
5 mins
Crypto Basics
How to Buy Ethereum (ETH) Easily on Token Metrics
Ethereum continues to be a top investment choice for those looking to participate in the future of blockchain technology.
Token Metrics Team
4 mins
Crypto Basics
Why Choose the TMAI Agent?
In the ever-evolving world of cryptocurrency, having the right tools can make the difference between success and missed opportunities.
Token Metrics Team
5 mins
Crypto Basics
How to Buy Bitcoin? A Simple Guide to Owning Digital Gold
Bitcoin (BTC) has solidified itself as digital gold, offering a hedge against inflation and an alternative to traditional financial systems.
Token Metrics Team
5 mins
Crypto Basics
What is an AI Agent? A Deep Dive into Token Metrics’ AI Agent
Among the most exciting innovations in this space are AI agents - intelligent digital assistants designed to streamline tasks, provide actionable insights, and simplify decision-making.
Token Metrics Team
5 mins
Crypto Basics
High-Profile Social Media Hacks and Cryptocurrency Scams: How Hackers Are Exploiting Influencers
The cryptocurrency industry has seen a troubling rise in high-profile social media hacks, where attackers compromise the accounts of influential figures to promote fraudulent memecoins.
Token Metrics Team
5 mins
Crypto Basics
The SEC's Shift in Crypto Regulation: Implications for the Industry
The cryptocurrency industry is facing a pivotal moment as the U.S. Securities and Exchange Commission (SEC) signals a shift in its approach to digital asset regulation.
Token Metrics Team
5 mins
Crypto Basics
What Are Crypto ETFs? A Beginner’s Guide to Cryptocurrency Exchange-Traded Funds
Cryptocurrency ETFs (Exchange-Traded Funds) are a revolutionary way for investors to gain exposure to digital assets without directly buying or managing them.
Token Metrics Team
5 mins
Crypto Basics
Top Solana Projects in 2024 - Token Metrics Moon Awards
Discover the top Solana projects of 2024 at the Token Metrics Moon Awards. Uncover the best in Solana innovation and investment potential.
Token Metrics Team
12 Minutes
Crypto Basics
Top ZK Rollup Projects in 2024 - Token Metrics Moon Awards
Uncover the top ZK Rollup technology of 2024 with the Token Metrics Moon Awards. Discover the future of scaling solutions.
Token Metrics Team
8 Minutes
Crypto Basics
Floki Inu Coin Price Prediction 2025, 2030 - Forecast Analysis
Explore Floki Inu coin price predictions for 2025 and 2030. Gain valuable insights with expert forecast analysis to make informed investment decisions.
Marcus K
5 Minutes
Crypto Basics
TENET Airdrop 2024 - Eligibility, Process and Rewards
Get all the details of TENET Airdrop 2024 in this guide. Check eligibility criteria, understand how to participate, and earn more rewards.
S. Vishwa
8 Minutes
Crypto Basics
Top Meme Coins in 2024 - Token Metrics Moon Awards
Discover the top meme coins of 2024 at the Token Metrics Moon Awards! Find out which tokens are making waves in the meme coin market this year.
Token Metrics Team
6 Minutes

Research Blogs

Research
Build High-Performance APIs with FastAPI
Learn how FastAPI delivers high-performance Python APIs, practical design patterns, async integration with AI and crypto data, deployment tips, and operational best practices.
Token Metrics Team
5
Research
Building High-Performance APIs with FastAPI
Explore FastAPI fundamentals, performance patterns, best practices for production, and how AI and data tools can integrate into fast, scalable Python APIs.
Token Metrics Team
5
Research
Building High-Performance APIs with FastAPI
Learn how FastAPI delivers high-performance Python APIs: architecture, async best practices, deployment, monitoring, and integrating AI inference pipelines for scalable services.
Token Metrics Team
5
Research
Fast, Reliable APIs with FastAPI
Learn practical FastAPI patterns: async performance, validation with Pydantic, deployment best practices, and how to integrate AI services and external APIs for scalable, maintainable endpoints.
Token Metrics Team
5
Research
Free APIs: Practical Guide for Crypto & AI Developers
Learn how to find, evaluate, and integrate free APIs for crypto and AI projects. Practical checklists, integration patterns, and ways Token Metrics can enhance research workflows.
Token Metrics Team
5
Research
Understanding REST APIs: Design, Security & Best Practices
A practical guide to REST API architecture, HTTP methods, security, design patterns, and how AI tools can integrate with APIs for reliable, scalable services.
Token Metrics Team
5
Research
Practical Guide to Building Robust REST APIs
Learn practical patterns and best practices to design, secure, and scale REST APIs for integrations, AI agents, and crypto data pipelines in this concise technical guide.
Token Metrics Team
5
Research
Mastering REST APIs: Principles, Design, Practices
A practical guide to REST API architecture, design patterns, security, and integrations with AI and crypto workflows. Learn best practices for building scalable, maintainable APIs.
Token Metrics Team
5
Research
Mastering REST APIs: Principles, Design, and Best Practices
Learn REST API fundamentals, design patterns, security, versioning, and practical tips for building robust, scalable APIs that integrate with AI agents and crypto data sources.
Token Metrics Team
5
Research
Mastering REST APIs: Design, Security, and Performance
A practical guide to REST API design, security, performance, and testing. Learn patterns, authentication, versioning, and tooling strategies to build robust RESTful services.
Token Metrics Team
4
Research
Understanding REST APIs: Architecture, Security & Best Practices
A practical, neutral guide to REST API architecture: learn core principles, security controls, versioning, testing, and observability for reliable web services and integrations.
Token Metrics Team
5
Research
Practical Guide to Building and Using REST APIs
A practical, implementation-focused guide to REST API design, security, documentation, and integration workflows—useful for developers and technical managers.
Token Metrics Team
6
Research
Master REST APIs: Design, Security & Integration
A practical guide to REST API fundamentals, design patterns, security practices, and integration tips for developers building services and AI or crypto applications.
Token Metrics Team
5
Research
Mastering REST APIs: Design, Security & Best Practices
A practical guide to REST API design, security, performance, and testing. Learn principles, patterns, and how AI-assisted tools can support robust API development.
Token Metrics Team
5
Research
How REST APIs Power Modern Web & AI Integrations
Understand REST API fundamentals, design patterns, security, and how RESTful services integrate with AI and crypto data. Practical tips for building reliable, scalable, and observable APIs.
Token Metrics Team
5
Research
Practical Guide to Building Robust REST APIs
A practical, developer-focused guide to REST API fundamentals: design, security, performance, testing, and deployment. Learn patterns and operational checks to build predictable, scalable RESTful services.
Token Metrics Team
5
Research
REST API Explained: Design, Use Cases & Best Practices
Understand REST API fundamentals, design patterns, security, and observability. Practical guidance for engineers building scalable APIs and integrating services using modern best practices.
Token Metrics Team
5
Research
How REST APIs Power Modern Apps
A practical guide to REST API architecture, design patterns, security, testing, and how AI tools can accelerate reliable API development without replacing human review.
Token Metrics Team
5
Research
Practical REST API Guide for Developers
Understand REST APIs from design and security to testing and observability. Practical patterns, authentication options, and tools to build scalable, maintainable APIs.
Token Metrics Team
5
Research
REST API Guide: Design, Security & Best Practices
A practical guide to REST API design covering resource modeling, security, performance, versioning, and integration with AI-driven tooling to help teams build reliable, scalable APIs.
Token Metrics Team
5
Research
Mastering Modern REST APIs: Design, Security & Tools
A practical guide to REST API fundamentals, design patterns, security best practices, testing workflows, and tools — with pointers to AI-assisted analytics for robust integrations.
Token Metrics Team
5
Research
Mastering REST API Fundamentals
A practical REST API guide covering design, security, tooling, and integration strategies for developers building web, AI, and crypto services.
Token Metrics Team
5
Research
Designing Robust REST APIs for Modern Apps
A practical guide to REST API design, security, versioning, and performance. Learn how to build and evaluate REST APIs for modern crypto and AI integrations with neutral, technical guidance.
Token Metrics Team
5
Research
Modern API Development Best Practices
Practical guide to API development: design patterns, security, testing, and AI-assisted tooling. Learn approaches to build scalable, maintainable APIs and how analytics tools can speed integration and monitoring.
Token Metrics Team
5
Research
How API Calls Power Modern Apps
A practical guide to api calls: how they work, protocols, security, rate limits, testing, and monitoring—practical frameworks for reliable integrations in crypto and AI systems.
Token Metrics Team
5
Research
APIs Explained: How Interfaces Power Modern Apps
Understand what an API is, how REST, GraphQL, and streaming APIs work, plus practical guidance for using APIs in crypto and AI projects and a checklist to evaluate providers.
Token Metrics Team
5
Research
APIs Explained: How They Work and Why They Matter
Learn what an API is, how APIs work, types and use cases, and practical steps to evaluate providers for AI, web, and crypto integrations.
Token Metrics Team
5
Research
APIs Explained: How They Work and Why They Matter
Learn what an API is, how APIs work, common use cases (web, AI, crypto), design and security best practices, and practical steps to evaluate and integrate APIs.
Token Metrics Team
5
Research
What Is an API? A Practical Guide
Learn what an API is, how APIs work, and how to evaluate and integrate them for apps, data feeds, and AI-driven research—plus practical tips for selecting reliable crypto APIs.
Token Metrics Team
4
Research
APIs Explained: What They Are and How They Work
Learn what an API is, how APIs work, types like REST and GraphQL, evaluation criteria, and practical steps to integrate APIs—plus how AI tools can enhance API data analysis.
Token Metrics Team
5
Research
APIs Explained: How They Power Software and Crypto
Understand what an API is, how APIs work, common protocols like REST and GraphQL, and practical considerations for crypto and AI integrations.
Token Metrics Team
5
Research
Why Crypto's New Rules Demand Strategic Crypto Trading?
Discover why traditional crypto buy-and-hold strategies are failing in 2024's narrative-driven markets. Learn the trending token strategy that professional traders use to profit from attention cycles, gaming tokens, and stablecoin infrastructure plays.
Talha Ahmad
9 min
Research
The Great Crypto Rotation - Why Smart Money is Moving from Bitcoin to Ethereum
The Ethereum rotation story isn't just about ETH itself—it's about the entire ecosystem of projects built on Ethereum's infrastructure. Base-layer tokens, DeFi protocols, and Ethereum-native projects have already begun showing strength, with tokens like Aerodrome and Zora experiencing significant runs during Ethereum's rally from $2,300 to nearly $5,000.
Talha Ahmad
8 min
Research
APIs Explained: How Applications Talk to Each Other
Learn what an API is, how APIs work, common types and use cases, and a practical checklist for evaluating and integrating APIs safely and efficiently.
Token Metrics Team
5
Research
APIs Explained: A Practical Guide for Developers
A clear, practical guide to APIs: what they are, how they work, key architectures, and a checklist to evaluate APIs for crypto, AI, and general development projects.
Token Metrics Team
5
Research
APIs Explained: How They Power Modern Apps
A clear, practical guide to APIs: what they are, how they work, types, crypto and AI use cases, security best practices, and a framework to evaluate and integrate APIs safely.
Token Metrics Team
5
Research
APIs Explained: How They Power Apps and AI
A practical guide to APIs: what they are, how they work, common types, security and integration best practices, and how APIs support AI-driven crypto research.
Token Metrics Team
5
Research
APIs Explained: How They Connect Apps and Data
A practical guide to APIs: what they are, how they work, common types (REST, GraphQL, gRPC), crypto and AI use cases, and design and security best practices for developers.
Token Metrics Team
5
Research
APIs Explained: How They Power Apps and Data
Clear, practical guide to APIs: what they are, how REST, GraphQL, and WebSocket differ, and how to evaluate and integrate APIs securely in crypto and AI projects.
Token Metrics Team
5
Research
APIs Explained: What an API Does and Why It Matters
A practical guide to what an API is, how APIs work, common types, and a checklist for evaluating and integrating APIs into your projects.
Token Metrics Team
5
Research
APIs Explained: How They Power Web & Crypto Apps
A practical guide to APIs: what they are, how they work, common types, security and evaluation steps, plus practical tips for integrating web and crypto APIs.
Token Metrics Team
5
Research
APIs Explained: How They Work and Why They Matter
Clear, practical guide to APIs: what they are, how they work, common types, security practices, and how to evaluate providers for crypto and AI integrations.
Token Metrics Team
5
Research
Understanding APIs: How They Work and Why They Matter
APIs let applications communicate, fetch data, and trigger actions. Learn how APIs work, common types, evaluation criteria, and practical steps to integrate them into apps and AI pipelines.
Token Metrics Team
5
Research
APIs Explained: How Application Programming Interfaces Work
A practical guide to what an API is, how APIs work, common types and use cases across web, mobile, crypto and AI, plus design and security best practices for developers.
Token Metrics Team
5
Research
Understanding APIs: A Practical Guide
APIs let applications exchange data and services securely. Learn what an API is, how REST, GraphQL and crypto APIs work, and practical steps to evaluate and integrate providers.
Token Metrics Team
6
Research
APIs Explained: How They Power Apps and AI
Learn what an API is, how it works, types, and practical integration tips for developers and AI teams. Includes use cases, security considerations, and research guidance.
Token Metrics Team
6
Research
Understanding APIs: What They Are and How They Work
APIs let software communicate by exposing endpoints, methods, and data formats. Learn how APIs work, types like REST and GraphQL, crypto and AI use cases, and steps to evaluate and secure integrations.
Token Metrics Team
5
Research
APIs Explained: How They Connect Software and Data
Learn what an API is, how different API types work, how APIs power crypto and AI applications, and practical best practices for secure, scalable integration.
Token Metrics Team
5
Research
APIs Explained: How Application Interfaces Work
Learn what an API is, how APIs work, common types and use cases, and practical design and security practices for integrating APIs into data and AI workflows.
Token Metrics Team
6
Research
Understanding APIs: How They Power Modern Apps
APIs let software systems communicate, share data, and power services. Learn how APIs work, common types, real-world use cases, security best practices, and how crypto and AI leverage APIs.
Token Metrics Team
5
Research
APIs Explained: What Is an API and How It Works
A practical guide to what an API is, how APIs work, types and use cases, and a checklist to evaluate APIs for projects, products, and AI integrations.
Token Metrics Team
5
Research
Mastering Google APIs: Practical Developer Guide
Practical guide to Google API: learn how to choose services, authenticate safely, manage quotas, and integrate AI workflows. Actionable best practices for developers building reliable integrations.
Token Metrics Team
5
Research
API Management Essentials for Teams
A practical guide to api management: governance, security, developer experience, monitoring, and scaling. Learn frameworks and tools to design robust, observable APIs for teams and products.
Token Metrics Team
5
Research
How Modern Web APIs Power Connected Apps
A practical guide to web APIs covering architecture, security, versioning, testing, and performance. Learn patterns and tools to design resilient, usable interfaces and how AI can assist analysis.
Token Metrics Team
5
Research
API Endpoint Essentials: Design, Security & Tips
Learn what an api endpoint is, how different endpoint types work, best design patterns, and practical security and monitoring practices for building reliable APIs.
Token Metrics Team
5
Research
Understanding REST APIs: A Practical Guide
A clear, practical guide to REST APIs: what they are, key principles, HTTP methods, design best practices, tools for testing, and how AI tools like Token Metrics can assist.
Token Metrics Team
5
Research
FastAPI: Build High-Performance Python APIs
Learn how FastAPI leverages async Python, pydantic models, and ASGI servers to build fast, scalable APIs. Practical optimization, deployment, and security tips for production-ready services.
Token Metrics Team
4
Research
Practical API Testing: Strategies, Tools, and Best Practices
A practical guide to API testing covering types of tests, strategy, tooling, automation, CI/CD integration, and how AI-driven data sources can strengthen realistic test scenarios.
Token Metrics Team
5
Research
Understanding APIs: A Clear Definition
Learn what an API is, compare REST/GraphQL/RPC, and get practical steps for secure, maintainable integrations—plus how APIs fit into AI and crypto workflows.
Token Metrics Team
5
Research
API Gateway: Architecture, Patterns & Best Practices
Learn how API gateways centralize routing, security, and observability for microservices. This practical guide covers architecture, deployment trade-offs, performance tuning, and design best practices.
Token Metrics Team
5
Research
RESTful API Essentials: Design, Security, and Best Practices
A practical guide to RESTful API design: learn core principles, security controls, performance optimization, testing workflows, and how AI-assisted tools can streamline API development and monitoring.
Token Metrics Team
5
Research
Practical Guide to Claude API Integration
Explore how the Claude API works, integration patterns, safety considerations, and practical best practices to build context-aware AI assistants and generation pipelines.
Token Metrics Team
4
Research
API Keys Explained: Secure Access for Developers
Learn what an api key is, how it works, and practical security and management techniques for developers and crypto integrations. Actionable best practices for safe key handling.
Token Metrics Team
5
Research
Mastering Google Maps API: A Practical Developer Guide
A practical developer's guide to Google Maps API: core services, security, cost control, and AI integration patterns to build performant, privacy-aware map experiences.
Token Metrics Team
5
Research
Mastering Discord Integrations: API Essentials
A practical guide to the Discord API covering Gateway vs REST, authentication, intents, rate limits, webhooks, security, and how AI and crypto APIs can enhance integrations.
Token Metrics Team
5
Research
API Explained: What 'API' Stands For & How It Works
Clear, practical explanation of what API stands for, common API types, design considerations, and how APIs power AI and crypto workflows. Learn best practices for secure, reliable integrations.
Token Metrics Team
5
Research
Mastering the ChatGPT API: Practical Developer Guide
A practical developer guide to the ChatGPT API covering architecture, integration patterns, token and cost management, prompt engineering, security, and production best practices.
Token Metrics Team
5
Research
Mastering the OpenAI API: Practical Guide
Practical guide to the OpenAI API: endpoints, embeddings, fine-tuning, rate limits, security, and implementation patterns to build reliable AI-powered applications and agents.
Token Metrics Team
5
Research
Inside DeepSeek API: Advanced Search for Crypto Intelligence
A practical guide to DeepSeek API: how semantic retrieval works, integration patterns, research workflows, limitations, and how to combine it with AI tools for better crypto research.
Token Metrics Team
5
Research
Practical Guide to Fabric API and Integrations
Explore the Fabric API—from Gateway and SDKs to identity, design patterns, and testing steps—so you can architect secure, maintainable Hyperledger Fabric integrations.
Token Metrics Team
5
Research
REST API Explained: Design, Security & Best Practices
Learn REST API fundamentals, secure design patterns, observability, and tooling. Practical guidance for building scalable, maintainable REST APIs and integrating with AI and services today for teams.
Token Metrics Team
4
Research
What Is an API? Practical Guide for Developers
Understand what an API is, how APIs power crypto and AI systems, and practical steps to evaluate and integrate APIs for reliable, secure, and scalable applications.
Token Metrics Team
6
Research
APIs Explained: What They Are and How They Work
A clear, practical guide to APIs: what they are, how they work, common types, integration steps, and evaluation criteria for developers and product teams.
Token Metrics Team
5
Research
What an API Is: Clear Meaning & Practical Guide
Understand the practical "api meaning" with clear definitions, technical overview, types, and a checklist to evaluate APIs. Learn how APIs enable integrations, automation, and AI-driven workflows.
Token Metrics Team
5
Research
Exploring APIs: How Application Programming Interfaces Power Crypto Innovation
Unlock the potential of APIs in crypto. Discover how APIs enable real-time data access, automation, and AI-powered insights for smarter blockchain development.
Token Metrics Team
6
Research
The Death of "Buy and Hold": Why Crypto Has Become a Trader's Market in 2025
The transformation of crypto from a fundamentals-driven market to an attention-based trading ecosystem represents a natural evolution as the space matures. While this shift has created challenges for traditional investors, it has also opened new opportunities for those willing to adapt their strategies.
Token Metrics Team
7 min
Research
Treasury Companies and ETFs: How Institutional Money is Reshaping Crypto in 2025
The convergence of treasury companies, ETF expansion, and consumer application growth is creating a new phase of cryptocurrency adoption. Unlike previous cycles driven by retail speculation, this institutional wave appears sustainable and growing.
Token Metrics Team
6 min
Research
Crypto Market Turns Bearish: Expert Analysis on Bitcoin, Ethereum, and Top Altcoin Opportunities
Bitcoin, currently trading around $114,000, has experienced what analysts describe as "momentum crashing." Despite reaching an all-time high of $124,000 just last week, the world's largest cryptocurrency has retreated below $115,000, triggering a clear sell signal on technical indicators.
Token Metrics Team
6 min
Research
How to Turn $10,000 into Life-Changing Crypto Profits: Expert Trading Strategies for 2025
The key lies not in finding the next 100x token, but in consistently identifying and properly timing 2-5x opportunities across multiple market cycles. With the right approach, compound growth and strategic reinvestment can transform modest beginnings into substantial wealth.
Token Metrics Team
How to Turn $10,000 into Life-Changing Crypto Profits: Expert Trading Strategies for 2025
Research
Coinbase Base App Revolution: Why This Crypto Super App Could Change Everything
The Coinbase Base app represents a potentially transformative moment in crypto infrastructure. By combining social features, trading capabilities, and developer tools into a single platform, it could become the primary gateway for mainstream crypto adoption.
Token Metrics Team
6 min
Research
Ethereum and Base Ecosystem Rally: Top Crypto Trading Opportunities in 2025
The Ethereum and Base ecosystem rally presents compelling short-term opportunities, but requires disciplined execution and risk management. Focus on projects with strong narrative alignment, lower valuations relative to peers, and clear catalysts for continued growth.
Token Metrics Team
6 min
Research
Choosing the Right Crypto API for Your Bot: REST vs WebSockets Explained
Explore the technical and practical differences between REST and WebSocket crypto APIs. Discover which approach fits your trading bot in 2025 and how to compare reliability, speed, and integration.
Token Metrics Team
6
Research
Avoid These Common Pitfalls When Creating Your First Crypto Trading Bot
Building your first crypto trading bot? Discover the most common pitfalls—plus pragmatic solutions for reducing risk, improving reliability, and leveraging effective automated strategies successfully.
Token Metrics Team
6
Research
Mastering Binance & Coinbase APIs for Automated Crypto Trading
Discover how to leverage Binance and Coinbase crypto trading APIs for powerful automation. Learn integration steps, security tips, and how AI tools can improve your automated trading.
Token Metrics Team
6
Research
Mastering Crypto Trading Bots: DCA, Grid, Arbitrage Strategies Explained
Explore how crypto trading bots automate strategies like DCA, grid trading, and arbitrage. Learn use-cases, tech basics, and how AI can boost crypto market analysis.
Token Metrics Team
6
Research
Top Crypto Bot Backtesting Tools, APIs & Scripts for 2025
Analyze and optimize your crypto trading bot strategies in 2025. Explore top backtesting tools, APIs, and open-source scripts for smarter, data-driven crypto trading research.
Token Metrics Team
6
Research
Explore Free Crypto Trading Bot Templates & GitHub Resources
Explore the best open-source crypto trading bot templates on GitHub, learn how to use them safely, and discover top automation resources for research and developing trading strategies.
Token Metrics Team
6
Research
2025’s Leading Crypto APIs for Trading, Price Data & Wallet Integration
Discover 2025’s best crypto APIs for trading, real-time price data, and wallet integration. Explore top providers, selection frameworks, and development trends for powerful blockchain apps.
Token Metrics Team
6
Research
From Beginner to Advanced: Building Your First Python Crypto Trading Bot
Learn how to build a crypto trading bot with Python, from basic strategies to advanced automation, securely connecting to exchanges, and leveraging analytics for smarter trading.
Token Metrics Team
6
Research
Comparing the Top Crypto Trading Bots of 2025: Open Source and Paid
Explore the leading open source and paid crypto trading bots for 2025. Learn about their features, AI automation, and how to select the best tool for your strategy.
Token Metrics Team
6
Research
Unlocking the Potential of Cryptocurrency APIs for Developers and Analysts
Learn how cryptocurrency APIs empower developers with real-time market data, on-chain analytics, and AI-driven insights—plus practical tips on choosing the best API for your project.
Token Metrics Team
5
Research
How to Access Real-Time Crypto Price Data for Free with APIs
Explore top free cryptocurrency price APIs for real-time data, analytics integration, and AI-driven research. Learn selection criteria and integration tips for smarter crypto app development.
Token Metrics Team
6
Research
How to Choose the Best Crypto API in 2025: Trends, Features, and Leaders
Discover how to evaluate top crypto APIs in 2025, explore key features, and see how AI and on-chain analytics are shaping future blockchain development tools.
Token Metrics Team
5
Research
A Complete Guide to Identifying the Best Crypto API for Your Project
Curious how to choose the best crypto API? Learn critical criteria, comparison strategies, and security tips for selecting a robust, reliable API for your next blockchain app.
Token Metrics Team
5
Research
A Practical Guide to Using Crypto APIs for Your Next Project
Learn how to use crypto APIs—from data collection to analytics and security. Discover best practices, practical steps, and AI-powered solutions for your crypto projects.
Token Metrics Team
5
Research
How to Choose the Best Crypto API for Your Project Needs
Discover how to evaluate, compare, and select the best crypto API for your application—whether it's for real-time prices, on-chain metrics, or AI-powered insights.
Token Metrics Team
6
Research
Affordable Real-Time Crypto Price APIs: Your Options Explained
Discover which free or affordable APIs provide real-time cryptocurrency price data, how they work, and how to choose the best option for your crypto project or research.
Token Metrics Team
5
Research
Top Free Crypto Trading Bots with Robust APIs for Binance
Looking for a free crypto trading bot with a robust API for Binance? Learn about popular bots, essential features, API integration, and how to use automation safely.
Token Metrics Team
6
Research
A Complete Guide to Accessing Cryptocurrency APIs for Developers
Learn how to get and integrate a cryptocurrency API for your apps. Explore practical steps, top features, secure usage tips, and next-gen AI-driven tools.
Token Metrics Team
6
Research
Exploring Free Cryptocurrency Conversion APIs: Options, Features, and Use Cases
Discover the best free cryptocurrency conversion APIs, their features, limitations, and integration tips. Learn how developers and analysts can leverage high-quality price data safely.
Token Metrics Team
6

Announcement Blogs

Announcements
The End of FOMO: How Token Metrics Alerts Revolutionizes Crypto Trading
The launch of Token Metrics Alerts marks the beginning of a new era where traders can maintain comprehensive market awareness without sacrificing their time, sleep, or sanity. It's technology serving the trader, not the other way around.
Token Metrics Team
5 min
Announcements
Introducing the New Moonshots API Endpoint: Access High‑Potential Tokens Programmatically
Discover the new Moonshots API endpoint from Token Metrics. Access live AI‑curated crypto picks with a 65 % win rate. Build trading bots, backtest strategies, and more
Token Metrics Team
5 min
Announcements
Best Marketing Agencies in 2025: Top Firms Driving Web3 Growth
Discover the best crypto marketing agencies in 2025, including Token Metrics, Coinbound, Lunar Strategy, and more. Book a call with Token Metrics to promote your Web3 project now.
Token Metrics Team
8 min
Announcements
Moonshots by Token Metrics – Daily AI Crypto Picks with Breakout Potential
Discover Moonshots, altcoin moonshots, meme coin moonshots at Token Metrics - your AI crypto research tool delivering up to 10 high-potential token picks with a 65%+ win rate, one-click trading, and real-time crypto alerts. Stop guessing and start trading smarter.
Token Metrics Team
8 min
Announcements
How to Build On-Chain Crypto Trading Bots Using Token Metrics Crypto API and Chainlink Functions
How to Use Token Metrics Crypto API with Chainlink Function | Best Free Crypto API for Crypto Trading Bots
Token Metrics Team
8 min
Announcements
Token Metrics Launches $200K Grant Program to Back Crypto Builders
Whether it’s a project that analyzes sentiment across the market, scores tokens with precision, or generates real-time trading signals—Token Metrics is here to fund the future through Token Metrics Grant Program
Token Metrics Team
8 min
Announcements
Build the Future of Crypto Trading: Integrating Token Metrics with LangChain for Smarter Crypto Decisions
A seamless integration with LangChain – a popular framework for building context-aware agents using large language models (LLMs).
Token Metrics Team
8 min
Announcements
Unlock AI Crypto Trading: Token Metrics Crypto API Integration with QuickNode
Token Metrics, a leading AI crypto trading and analytics platform, has taken another giant leap by integrating with QuickNode, a cutting-edge blockchain infrastructure provider.
Token Metrics Team
8 min
Announcements
Best Crypto API for Automated Trading: How Zapier and Token Metrics Help Crypto Traders Win
Zapier is a no-code automation platform that lets you connect different apps and workflows using simple logic. With this integration, Token Metrics becomes one of the most powerful crypto APIs available for automation.
Token Metrics Team
8 min
Announcements
AI Crypto Trading with Token Metrics Crypto API and OpenAI Agents SDK: The Future of Autonomous Crypto Intelligence
Token Metrics delivers one of the best crypto API experiences on the market, streaming tick-level prices, on-chain metrics, and proprietary AI grades across 6,000+ assets.
Token Metrics Team
8 min
Announcements
Token Metrics Crypto API and Windsurf Integration: Unlock Hidden Crypto Signals for Smarter Trading
That’s why we’re excited to unveil a game-changing integration: Token Metrics Crypto API now powers an ultra-fast, AI-driven crypto analytics platform—supercharged by Windsurf Coding Agent automation.
Token Metrics Team
8 min
Announcements
Build AI-Powered Crypto Trading Bots in Minutes: Token Metrics Partners with Cline for Seamless Crypto API Integration
We're excited to announce a powerful new integration between Token Metrics and Cline bringing together the most advanced crypto API on the market and an AI-native coding environment purpose-built for building and testing AI crypto trading bots.
Token Metrics Team
8 min
Announcements
Transforming Crypto AI Trading: Token Metrics Crypto API Now Integrates Seamlessly with Cursor AI
AI is transforming the future of AI crypto trading—and with the integration of Token Metrics Crypto API and Cursor AI, we’re taking another giant leap forward.
Token Metrics Team
8 min
Announcements
🚀 Token Metrics API Goes Live on Hacker News – The AI Crypto Toolkit for Builders
The Token Metrics API has officially launched on Hacker News, marking a major milestone in our mission to bring AI-powered crypto insights to every developer, founder, and builder in the Web3 space.
Token Metrics Team
5 min
Announcements
🚀Put Your $TMAI to Work: Daily Rewards, No Locks, Up To 200% APR.
Liquidity farming just got a major upgrade. Token Metrics AI ($TMAI) has launched its first liquidity incentive campaign on Merk — and it’s designed for yield hunters looking to earn fast, with no lockups, no gimmicks, and real rewards from Day 1.
Token Metrics Team
5 min
Announcements
Token Metrics API Joins RapidAPI: The Fastest Way to Add AI-Grade Crypto Data to Your App
The hunt for a dependable Crypto API normally ends in a graveyard of half-maintained GitHub repos, flaky RPC endpoints, and expensive enterprise feeds that hide the true cost behind a sales call.
Token Metrics Team
5 min
Announcements
Crypto MCP Server: Token Metrics Brings One-Key Data to OpenAI, Claude, Cursor & Windsurf
The modern crypto stack is a jungle of AI agents: IDE copilots that finish code, desktop assistants that summarise white-papers, CLI tools that back-test strategies, and slide generators that turn metrics into pitch decks.
Token Metrics Team
5 min
Announcements
Inside the Dashboard: How to Monitor API Key Activity and Monthly Usage in Real Time
The power of any great API isn’t just in the data it provides — it’s also in the control, visibility, and accountability it gives developers.
Token Metrics Team
5 min
Announcements
🚀 Announcing the Launch of the Token Metrics API & SDK — Powered by $TMAI
We’re thrilled to announce one of our most important product launches to date: the Token Metrics API is now live.
Token Metrics Team
5 min
Announcements
AI Tokens and DeFi 2.0: Where Smart Capital is Flowing
The crypto market is cyclical—not just in price, but in narrative. In recent months, attention has rotated from AI to DeFi, creating new opportunities for savvy investors.
Token Metrics Team
4 min
Announcements
Is Sui the Next Solana? A Deep Dive into L1 Competitors
As the Layer 1 (L1) narrative continues to evolve, one blockchain has rapidly emerged as a serious contender to Solana’s throne: Sui.
Token Metrics Team
4 min
Announcements
Launch Coin and the Rise of Internet Capital Markets
In crypto, narratives evolve quickly—and in May 2025, a new one has captured the spotlight: Internet Capital Markets (ICM).
Token Metrics Team
3 min
Announcements
Best Crypto Wallet: A Comprehensive Guide for 2025
In the fast-paced world of cryptocurrency, choosing the best crypto wallet is critical for safeguarding your digital assets.
Token Metrics Team
3 min
Announcements
The Future of Crypto: Smart Investing in a Rapidly Evolving Market
With over 25,000 digital assets and counting, navigating this dynamic space requires more than just luck—it demands data-driven insight and strategic foresight.
Token Metrics Team
3 min
Announcements
Starting Crypto Trading: A Beginner’s Guide with Token Metrics for Smarter Decisions
If you’re wondering how to start crypto trading, this guide breaks down the essential steps and shows how integrating Token Metrics’ AI-powered analytics can help you trade smarter and more confidently.
Token Metrics Team
3 MIN
Announcements
Stop Guessing, Start Trading: The Token Metrics API Advantage
We’re cranking up the heat on AI-driven crypto analytics with the launch of the Token Metrics API and our official SDK (Software Development Kit).
Token Metrics Team
3 min
Announcements
Trading on Token Metrics Launches Today!
Token Metrics, already an industry leader in AI analytics for crypto, has now closed the gap between research and execution with the launch of its direct trading feature.
Token Metrics Team
5 mins
Announcements
Token Metrics Revenue Sharing DAO: The Future of Crypto Investing
For years, Token Metrics has been the go-to platform for AI-powered crypto research, market insights, and advanced trading tools.
Token Metrics Team
5 mins
Announcements
0xTMAI: Your AI-Powered Crypto Analyst Is Now on X
In the 24/7, always-on world of crypto, missing key market moves is just as expensive as it’s frustrating. One minute, you’re deep in a thread about memecoins, and the next, the token that could have 10X’d your portfolio has already taken off.
Token Metrics Team
5 min
Announcements
Token Metrics AI Raises $8.5M to Advance Crypto AI Agents, Reveals 2025 Roadmap
Token Metrics AI (TMAI), a platform transforming cryptocurrency trading with AI agents, has raised $8.5 million over four years from 3,000+ investors.
Token Metrics Team
4 min
Announcements
The Crypto AI Agent Revolutionizing Investing: Why TMAI is a Must-Have for 2025
Investing in cryptocurrency is evolving, and staying ahead of the curve requires the right tools and insights.
Token Metrics Team
4 min
Announcements
Token Metrics ($TMAI) Payments: A Comprehensive Guide
This is more than just payments—your ticket to 100X opportunities, exclusive rewards, and a front-row seat to the crypto revolution.
Token Metrics Team
5 min
Announcements
$TMAI Payments: A New Era is Coming Soon
At Token Metrics, we've always been at the forefront of innovation in crypto analytics, and now, we're gearing up to take things to the next level.
Token Metrics Team
3 min
Announcements
Maximize Your TMAI Tokens: Unlock the Full Potential of Your Crypto Experience! 🔑
Congratulations on becoming a TMAI token holder! You’re now part of an exclusive community that’s redefining the crypto trading landscape.
Token Metrics Team
3 min
Announcements
A Massive Thank You: TMAI TGE Surpasses All Expectations! 🎉
We are absolutely overwhelmed by the phenomenal response to the TMAI TGE! Your incredible support has surpassed all our projections, and we couldn’t be more grateful.
Token Metrics Team
3 min
Announcements
TMAI TGE Is Live: Embark on the Future of Crypto Trading! 🌐
The moment you’ve been waiting for has arrived—the TMAI Token Generation Event is NOW LIVE on Gate.io, MEXC, and Aerodrome!
Token Metrics Team
3 min
Announcements
24 Hours Left: Secure Your Place in the TMAI Revolution! ⏳
The excitement is electric! In just 24 hours, the TMAI Token Generation Event (TGE) goes live.
Token Metrics Team
3 min
Announcements
TMAI Token Launch This Week! The Community-Powered Token Poised to Transform Crypto Trading! 🚀
The countdown has officially begun! We are excited to announce the upcoming TMAI Token Generation Event (TGE) on December 4th.
Token Metrics Team
7
Announcements
Exclusive Token Metrics Happy Holidays Sale - Gear Up for Next Bull Run!
Get access to token metrics premium products and features at discounted prices. This holiday season, boost your crypto trading with valuable insights.
Token Metrics Team
2 Minutes
Announcements
Token Metrics VIP Plan and Deals Bot - Early Stage VC Deals Just for You!
Elevate your crypto investment journey with Token Metrics VIP Plan. Gain exclusive access to the VIP Deals Bot and Curated Deals Bot, offering vetted opportunities for Investors.
Token Metrics Team
3 Minutes
Announcements
Partner with Token Metrics - Exclusive Sponsorship Opportunity
Elevate your brand with an exclusive sponsorship opportunity through Token Metrics captivating podcasts and highly engaging YouTube channel.
Token Metrics Team
2 Minutes
Announcements
Claim Your Free Token Metrics Account Now
Exclusive Offer: Your FREE Token Metrics Account is Waiting - Claim It Today!
Token Metrics Team
3 Minutes
Announcements
Introducing the Customizable Ratings Page for Best Crypto Opportunities
Token Metrics introduces the Customizable Ratings Page to find better crypto investment opportunities.
Token Metrics Team
7 minutes
Announcements
Token Metrics TradingView Indicator - Trade Cryptocurrencies with Confidence
Learn more about the Token Metrics TradingView Indicator, a powerful tool to provide Long/Short signals for crypto assets.
Token Metrics Team
7 minutes
Announcements
Introducing Token Metrics Investor Grade
Learn everything about the newly-launched Token Metrics Investor Grade.
Token Metrics Team
5 minutes
Research

Top Crypto Trading Platforms in 2025

When it comes to crypto trading platforms, Token Metrics is not an exchange, but a crypto analytics and crypto trading intelligence platform powered by AI.
Token Metrics Team
10 min
Announcements

Token Metrics AI Raises $8.5M to Advance Crypto AI Agents, Reveals 2025 Roadmap

Token Metrics AI (TMAI), a platform transforming cryptocurrency trading with AI agents, has raised $8.5 million over four years from 3,000+ investors.
Token Metrics Team
4 min
Crypto Basics

Top Solana Projects in 2024 - Token Metrics Moon Awards

Discover the top Solana projects of 2024 at the Token Metrics Moon Awards. Uncover the best in Solana innovation and investment potential.
Token Metrics Team
12 Minutes
Crypto Basics

Top ZK Rollup Projects in 2024 - Token Metrics Moon Awards

Uncover the top ZK Rollup technology of 2024 with the Token Metrics Moon Awards. Discover the future of scaling solutions.
Token Metrics Team
8 Minutes
Crypto Basics

Floki Inu Coin Price Prediction 2025, 2030 - Forecast Analysis

Explore Floki Inu coin price predictions for 2025 and 2030. Gain valuable insights with expert forecast analysis to make informed investment decisions.
Marcus K
5 Minutes
Crypto Basics

TENET Airdrop 2024 - Eligibility, Process and Rewards

Get all the details of TENET Airdrop 2024 in this guide. Check eligibility criteria, understand how to participate, and earn more rewards.
S. Vishwa
8 Minutes
Crypto Basics

Top Meme Coins in 2024 - Token Metrics Moon Awards

Discover the top meme coins of 2024 at the Token Metrics Moon Awards! Find out which tokens are making waves in the meme coin market this year.
Token Metrics Team
6 Minutes
Crypto Basics

Kontos Airdrop 2024 - Eligibility, Process and Rewards

Get all the details of Kontos Airdrop 2024 in this guide. Check eligibility criteria, understand how to participate, and earn more rewards.
S. Vishwa
5 Minutes
Crypto Basics

Top Layer 2 Blockchain in 2024 - Token Metrics Moon Awards

Explore the top Layer 2 blockchain technology with Token Metrics Moon Awards 2024. Uncover the future of scalable and efficient blockchain.
Token Metrics Team
6 Minutes
Crypto Basics

Initial DEX Offering (IDO) - A Detailed Guide for Beginners

Discover the ins and outs of Initial DEX Offering (IDO) with our comprehensive guide. Learn how to participate and succeed in IDO launches.
S. Vishwa
9 Minutes
Crypto Basics

Pepe Coin Price Prediction 2025, 2030 - Forecast Analysis

Explore Pepe coin price predictions for 2025 and 2030. Gain valuable insights with expert forecast analysis to make informed investment decisions.
Marcus K
5 Minutes
Crypto Basics

Top Upcoming Crypto Coins - 14 High Potential Altcoins Not Trading Yet

Check 14 high potential upcoming crypto altcoins that are not trading yet. Stay ahead in the cryptocurrency market with these upcoming coins in 2024.
Token Metrics Team
11 Minutes
Crypto Basics

Best Crypto YouTube Channels in 2024 - Token Metrics Moon Awards

Discover the top crypto YouTube channels of 2024 with the Token Metrics Moon Awards. Stay ahead in crypto trends and insights for savvy investments.
Token Metrics Team
5 Minutes
Crypto Basics

Top Crypto Narratives in 2024 - Token Metrics Moon Awards

Discover the top crypto narratives of 2024 with the Token Metrics Moon Awards. Unveil the top trends shaping the future of the crypto industry.
Token Metrics Team
11 Minutes
Crypto Basics

Bitcoin Pizza Day - Historical Significance and Lessons for Investors

Read the fascinating story behind Bitcoin Pizza Day, its significance in the crypto community, and the lessons it holds for investors.
S. Vishwa
5 Minutes
Crypto Basics

Top Bitcoin Ordinal NFT Collection in 2024 - Token Metrics Moon Awards

Discover the top Bitcoin Ordinal NFTs of 2024 with the Token Metrics Moon Awards. Explore top collections that are shaping the crypto art world.
Token Metrics Team
11 Minutes
Crypto Basics

Aleo Airdrop 2024 - Eligibility, Process and Rewards

Get all the details of Aleo Airdrop 2024 in this guide. Check eligibility criteria, understand how to participate, and earn more rewards.
Token Metrics Team
11 Minutes
Crypto Basics

What are Real World Assets (RWA) and Its Importance in Crypto?

Learn everything about Real World Assets (RWA) in crypto and know how they bridge traditional finance with blockchain for enhanced security and liquidity.
S. Vishwa
5 Minutes
Crypto Basics

Top Layer 1 Blockchain in 2024 - Token Metrics Moon Awards

Discover the best Layer 1 Blockchain of 2024 with the Token Metrics Moon Awards. Dive into the top platforms setting the pace for blockchain innovation.
Token Metrics Team
5 Minutes
Crypto Basics

Top Blockchain Use Cases in 2024

Discover the top blockchain use cases in 2024, transforming sectors like healthcare, finance, and logistics. Dive into tech's future with groundbreaking uses.
S. Vishwa
6 Minutes
Crypto Basics

DEX vs CEX - Key Differences and Similarities

Explore the key differences and similarities between Decentralized Exchanges (DEX) and Centralized Exchanges (CEX) in this comprehensive guide.
S. Vishwa
7 Minutes
Crypto Basics

GRASS Airdrop 2024 - Eligibility, Process and Rewards

Read all the details of the GRASS airdrop. Understand eligibility, rewards and how to participate in this airdrop. Secure your spot in this exclusive event.
Token Metrics Team
4 Minutes
Crypto Basics

Top Crypto Podcasts in 2024 - Token Metrics Moon Awards

Check the best crypto podcasts of 2024 with the Token Metrics Moon Awards. A valuable list for investors to catch up on the blockchain and cryptocurrency trends.
Token Metrics Team
8 Minutes
Crypto Basics

The Ultimate Guide to TradingView With Advanced Trading Strategies

Unlock advanced trading strategies with the ultimate guide to TradingView. Elevate your market analysis and trading skills to maximize profits.
Token Metrics Team
6 Minutes
Crypto Basics

Top Bitcoin ETFs in 2024 - Token Metrics Moon Awards

Discover the best Bitcoin ETFs of 2024 with the Token Metrics Moon Awards. Unveil top-performing investments in the crypto space.
Token Metrics Team
7 Minutes
Crypto Basics

Decentraland (MANA) Price Prediction 2025, 2030 - Forecast Analysis

Explore a detailed analysis of Decentraland (MANA) price predictions for 2025 and 2030. Gain insights into factors that may influence the future of Decentraland.
S. Vishwa
5 Minutes
Crypto Basics

Best Play to Earn Crypto Games for Passive Income in 2024

Get the list of best play-to-earn crypto games for effortless passive income in 2024. Explore the best opportunities to start earning.
Marcus K
5 Minutes
Crypto Basics

Litecoin (LTC) Price Prediction 2025, 2030 - Forecast Analysis

Explore a detailed analysis of Litecoin (LTC) price predictions for 2025 and 2030. Gain insights into factors that may influence the future of Litecoin.
S. Vishwa
5 Minutes
Crypto Basics

Top Low Cap Altcoins of 2024 - Token Metrics Moon Awards

Discover the top low-cap altcoins for 2024 with the Token Metrics Moon Awards. Uncover the popular and top-voted hidden gems set for substantial growth.
Token Metrics Team
11 Minutes
Crypto Basics

What is a Security Token in Crypto and How it Works?

Learn everything about security tokens and their functionality in the crypto space. Discover how security tokens operate and their impact on investment.
S. Vishwa
5 Minutes
Crypto Basics

Top Upcoming Confirmed Crypto Airdrops 2024 - Token Metrics Moon Awards

Get the list of top confirmed crypto airdrops of 2024. Advance your portfolio with our exclusive Moon Awards guide to verified airdrops and maximize your digital asset gains.
Token Metrics Team
6 Minutes
Crypto Basics

Is Kraken Safe? - A Comprehensive Review

Is Kraken safe? Uncover the truth in our comprehensive review. Learn about the platform's security measures and user experiences.
S. Vishwa
5 Minutes
Crypto Basics

What is Asset Allocation and How Does it Impact Your Portfolio?

Learn everything about asset allocation and its crucial role in shaping your portfolio. Unlock the best strategies for maximizing returns on your investment.
S. Vishwa
6 Minutes
Crypto Basics

What is a Smart Contract and How it Works on a Blockchain?

Learn everything about smart contracts and their role in blockchain operations. Explore the transformative impact of automated agreements.
Marcus K
6 Minutes
Crypto Basics

What is Litecoin Halving and its Impact?

Learn everything about Litecoin halving, its mechanism, and its history. Also, discover its impact on mining rewards and market value.
S. Vishwa
6 Minutes
Crypto Basics

Upcoming Crypto Airdrops - The Gateway to Wealth Generation

Get the list of upcoming crypto airdrops and discover confirmed, likely, and possible high potential airdrops to boost your digital asset portfolio.
Token Metrics Team
13 Minutes
Crypto Basics

The Ultimate Guide to Initial Exchange Offerings (IEOs)

Learn everything about Initial exchange offerings with our ultimate IEO guide. Get expert tips on participating, launching, and profiting from IEOs.
Marcus K
8 Minutes
Crypto Basics

What is a Hard Fork and How Does it Work?

Discover what a hard fork is and how it works in blockchain technology. Learn about its impact and implementation in this comprehensive guide
S. Vishwa
5 Minutes
Crypto Basics

How to Evaluate New Crypto Projects Before Investing?

Learn key strategies to assess new cryptocurrencies effectively. Ensure your investments are informed with our comprehensive guide on crypto evaluation.
Marcus K
5 Minutes
Crypto Basics

Will Ethereum Go Up in the Next Bull Run? - Complete Analysis

Delve into a detailed analysis of Ethereum to uncover whether ETH will go back up or not. Explore the factors that can impact its price in the next bull run.
S. Vishwa
5 Minutes
Crypto Basics

What is the Domino Effect in Crypto and How Does It Work?

Learn how the Domino effect works and uncover its impact on crypto. Unravel the ripple effect of market fluctuations in the crypto space.
Marcus K
5 Minutes
Crypto Basics

What is Tokenization in Crypto and How it Works?

Learn everything about tokenization and its types in cryptocurrency. Understand its workings and the impact it has on the financial landscape.
S. Vishwa
7 Minutes
Crypto Basics

Coinbase vs Robinhood - Which Platform is Better?

Compare Coinbase and Robinhood to determine which platform offers superior features, security, and user experience. Choose wisely for your digital investments.
Marcus K
6 Minutes
Crypto Basics

What is Ethereum Triple Halving and its Impact on ETH?

Discover the significance of Ethereum halving and its potential impact on ETH. Gain insights into this key event in the world of cryptocurrency.
S. Vishwa
9 Minutes
Crypto Basics

What are Meme Coins and are they Safe to Invest in?

Learn about meme coins and evaluate their investment potential. Uncover the safety considerations linked to meme coin investments before making your move.
Marcus K
8 Minutes
Crypto Basics

Best Risk Management Strategies for Crypto Investors

Discover the best risk management strategies for crypto investors. Safeguard your investments with expert advice and minimize potential losses.
S. Vishwa
6 Minutes
Announcements

Exclusive Token Metrics Happy Holidays Sale - Gear Up for Next Bull Run!

Get access to token metrics premium products and features at discounted prices. This holiday season, boost your crypto trading with valuable insights.
Token Metrics Team
2 Minutes
Crypto Basics

15 Low Cap Crypto Altcoins for the Next Bull Run

Discover the top altcoins to consider for your investment portfolio. Stay informed and make smart decisions in the evolving crypto landscape. Read more now!
Token Metrics Team
9 Minutes
Crypto Basics

Cardano Staking - A Comprehensive Guide for Beginners

Learn about Cardano staking in this comprehensive guide and uncover the strategies and essential tips for beginners entering the world of ADA staking.
Marcus K
8 Minutes
Crypto Basics

What is Bitcoin Mining and Is it Profitable?

Learn everything about Bitcoin mining in this guide. Understand the process, potential earnings, and key factors that may impact profitability.
S. Vishwa
9 Minutes
Crypto Basics

Cardano (ADA) Price Prediction 2025, 2030 - Forecast Analysis

Explore a detailed analysis of Cardano (ADA) price predictions for 2025 and 2030. Gain insights into factors that may influence the future of Cardano.
Marcus K
5 Minutes
Crypto Basics

How to Mine Monero and Is It Profitable?

Learn about Monero mining and uncover profitability secrets. A comprehensive guide for aspiring miners to learn and earn more in the crypto space.
S. Vishwa
8 Minutes
Crypto Basics

What are Crypto Whales and How Do You Track Them?

Discover the world of crypto whales and learn effective strategies to track their activities. Explore the impact of these big players in the crypto space.
Marcus K
6 Minutes
Crypto Basics

What is Copy Trading and How to Use it for Better Returns?

Explore the power of copy trading for enhanced returns. Uncover the art of replicating successful strategies to optimize your crypto investment journey.
S. Vishwa
9 Minutes
Crypto Basics

Crypto Venture Capital Investing Strategy - Build Generational Wealth

Unlock the secrets of venture capital in crypto. Learn a strategic approach to investing that transcends generations, building enduring wealth in crypto.
Token Metrics Team
5 Minutes
Crypto Basics

Solana Staking - A Step by Step Guide for Beginners

Learn everything about staking Solana and unlock a passive income stream. Uncover step-by-step insights to maximize your crypto earnings.
Marcus K
7 Minutes
Crypto Basics

Chainlink (LINK) Price Prediction 2025, 2030 - Forecast Analysis

Explore a detailed analysis of Chainlink (LINK) price predictions for 2025 and 2030. Gain insights into factors that may influence the future of Chainlink.
Marcus K
7 Minutes
Crypto Basics

What Are Zero Knowledge Proofs and How Does it Work?

Learn everything about zero knowledge proofs and discover how this cutting-edge technology works and reshapes digital space.
S. Vishwa
7 Minutes
Crypto Basics

Liquid Staking - A Comprehensive Guide to Getting Started

Learn everything about liquid staking with our detailed guide. Check how to start and unleash the potential for passive income in the crypto space.
Marcus K
8 Minutes
Crypto Basics

10 Best Crypto Tools for Investors and Traders

Discover the ultimate toolkit for crypto success! Explore the 10 best crypto tools to empower cryptocurrency investors and traders.
S. Vishwa
10 Minutes
Crypto Basics

8 Best Bitcoin Wallets of 2023 for BTC Investors

Discover the best Bitcoin wallets in 2023 for secure BTC storage. Choose from our top picks to safeguard your investments in the ever-evolving crypto space.
Marcus K
8 Minutes
Crypto Basics

Dogecoin (DOGE) Price Prediction 2025, 2030 - Forecast Analysis

Explore a detailed analysis of Dogecoin (DOGE) price predictions for 2025 and 2030. Gain insights into factors that may influence the future of Dogecoin.
Marcus K
5 Minutes
Crypto Basics

Is Solana a Good Investment? - Complete Analysis

Dive into a detailed analysis to determine if Solana is a good investment in 2023. Explore key factors, risks, and potential for substantial returns.
S. Vishwa
6 Minutes
Crypto Basics

How to Mine Litecoin? - A Step-by-Step Guide for Beginners

Learn how to mine Litecoin (LTC) in this comprehensive guide with step-by-step instructions for beginners to embark on a successful mining journey.
S. Vishwa
7 Minutes
Crypto Basics

Will Bitcoin Go Back Up? - A Comprehensive Analysis

Delve into a detailed analysis of Bitcoin to uncover whether BTC will go back up or not. Explore the factors that can impact its future price.
Marcus K
6 Minutes
Crypto Basics

8 Best and Profitable Crypto to Mine - Complete List

Discover the complete list of the best and most profitable crypto to mine in 2023. Explore opportunities and maximize your crypto mining gains.
S. Vishwa
7 Minutes
NFTs

NFT Market Crash - Insights for Investors and Artists

Gain strategic insights for investors and artists in the aftermath of the NFT market crash. Stay informed to make wise decisions in the evolving NFT space.
Marcus K
6 Minutes
Crypto Basics

Avalanche (AVAX) Price Prediction 2025, 2030 - Forecast Analysis

Delve into a detailed analysis of Avalanche (AVAX) price predictions and forecasts for 2025 and 2030 to make informed investment decisions.
S. Vishwa
7 Minutes
Crypto Basics

XDC Price Prediction 2025, 2030 - Forecast Analysis

Delve into an extensive analysis of XDC's price prediction for 2025 and 2030. Make informed investment decisions in the dynamic world of cryptocurrencies.
Marcus K
6 Minutes
Crypto Basics

MetaMask vs Coinbase Wallet - Which One is Better?

Explore the key differences between MetaMask and Coinbase wallet to make an informed decision. Choose the best wallet for your crypto assets.
S. Vishwa
10 Minutes
Announcements

Token Metrics VIP Plan and Deals Bot - Early Stage VC Deals Just for You!

Elevate your crypto investment journey with Token Metrics VIP Plan. Gain exclusive access to the VIP Deals Bot and Curated Deals Bot, offering vetted opportunities for Investors.
Token Metrics Team
3 Minutes
Crypto Basics

Polygon (MATIC) Price Prediction 2025, 2030 - Forecast Analysis

Delve into a comprehensive analysis of Polygon (MATIC) price predictions and forecasts for 2025 and 2030 to make informed investment decisions.
Marcus K
6 Minutes
Crypto Basics

What are the Types of Cryptocurrency and How Do They Work?

Explore the various types of cryptocurrencies and gain a deep understanding of their underlying technologies and functions.
S. Vishwa
8 Minutes
Crypto Basics

Filecoin Price Prediction - Is It Good to Invest or Avoid?

Explore the detailed analysis of Filecoin price prediction and forecast for 2023, 2025, and 2030 to make informed investment decisions in the crypto market.
Marcus K
7 Minutes
Crypto Basics

Metaverse Crypto Coins - Are They Good to Invest?

Learn about Metaverse crypto coins and discover what sets them apart in the crypto space. Also, check the top coins and their investment potential.
S. Vishwa
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