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Stop Guessing, Start Trading: The Token Metrics API Advantage

Announcements

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

Inside DeepSeek API: Advanced Search for Crypto Intelligence

Token Metrics Team
5
MIN

DeepSeek API has emerged as a specialized toolkit for developers and researchers who need granular, semantically rich access to crypto-related documents, on-chain data, and developer content. This article breaks down how the DeepSeek API works, common integration patterns, practical research workflows, and how AI-driven platforms can complement its capabilities without making investment recommendations.

What the DeepSeek API Does

The DeepSeek API is designed to index and retrieve contextual information across heterogeneous sources: whitepapers, GitHub repos, forum threads, on-chain events, and more. Unlike keyword-only search, DeepSeek focuses on semantic matching—returning results that align with the intent of a query rather than only literal token matches.

Key capabilities typically include:

  • Semantic embeddings for natural language search.
  • Document chunking and contextual retrieval for long-form content.
  • Metadata filtering (chain, contract address, author, date).
  • Streamed or batched query interfaces for different throughput needs.

Typical Architecture & Integration Patterns

Integrating the DeepSeek API into a product follows common design patterns depending on latency and scale requirements:

  1. Server-side retrieval layer: Your backend calls DeepSeek to fetch semantically ranked documents, then performs post-processing and enrichment before returning results to clients.
  2. Edge-caching and rate management: Cache popular queries and embeddings to reduce costs and improve responsiveness. Use exponential backoff and quota awareness for production stability.
  3. AI agent workflows: Use the API to retrieve context windows for LLM prompts—DeepSeek's chunked documents can help keep prompts relevant without exceeding token budgets.

When building integrations, consider privacy, data retention, and whether you need to host a private index versus relying on a hosted DeepSeek endpoint.

Research Workflows & Practical Tips

Researchers using the DeepSeek API can follow a repeatable workflow to ensure comprehensive coverage and defensible results:

  • Define intent and query templates: Create structured queries that capture entity names, contract addresses, or conceptual prompts (e.g., “protocol upgrade risks” + contract).
  • Layer filters: Use metadata to constrain results to a chain, date range, or document type to reduce noise.
  • Iterative narrowing: Start with wide semantic searches, then narrow with follow-up queries using top results as new seeds.
  • Evaluate relevance: Score results using both DeepSeek’s ranking and custom heuristics (recency, authoritativeness, on-chain evidence).
  • Document provenance: Capture source URLs, timestamps, and checksums for reproducibility.

For reproducible experiments, version your query templates and save query-result sets alongside analysis notes.

Limitations, Costs, and Risk Factors

Understanding the constraints of a semantic retrieval API is essential for reliable outputs:

  • Semantic drift: Embeddings and ranking models can favor topical similarity that may miss critical technical differences. Validate with deterministic checks (contract bytecode, event logs).
  • Data freshness: Indexing cadence affects the visibility of the newest commits or on-chain events. Verify whether the API supports near-real-time indexing if that matters for your use case.
  • Cost profile: High-volume or high-recall retrieval workloads can be expensive. Design sampling and caching strategies to control costs.
  • Bias and coverage gaps: Not all sources are equally represented. Cross-check against primary sources where possible.

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: What developers ask most about DeepSeek API

What data sources does DeepSeek index?

DeepSeek typically indexes a mix of developer-centric and community data: GitHub, whitepapers, documentation sites, forums, and on-chain events. Exact coverage depends on the provider's ingestion pipeline and configuration options you choose when provisioning indexes.

How do embeddings improve search relevance?

Embeddings map text into vector space where semantic similarity becomes measurable as geometric closeness. This allows queries to match documents by meaning rather than shared keywords, improving recall for paraphrased or conceptually related content.

Can DeepSeek return structured on-chain data?

While DeepSeek is optimized for textual retrieval, many deployments support linking to structured on-chain records. A common pattern is to return document results with associated on-chain references (contract addresses, event IDs) so downstream systems can fetch transaction-level details from block explorers or node APIs.

How should I evaluate result quality?

Use a combination of automated metrics (precision@k, recall sampling) and human review. For technical subjects, validate excerpts against source code, transaction logs, and authoritative docs to avoid false positives driven by surface-level similarity.

What are best practices for using DeepSeek with LLMs?

Keep retrieved context concise and relevant: prioritize high-salience chunks, include provenance for factual checks, and use retrieval augmentation to ground model outputs. Also, monitor token usage and prefer compressed summaries for long sources.

How does it compare to other crypto APIs?

DeepSeek is focused on semantic retrieval and contextual search, while other crypto APIs may prioritize raw market data, on-chain metrics, or analytics dashboards. Combining DeepSeek-style search with specialized APIs (for price, on-chain metrics, or signals) yields richer tooling for research workflows.

Where can I learn more or get a demo?

Explore provider docs and example use cases. For integrated AI research and ratings, see Token Metrics which demonstrates how semantic retrieval can be paired with model-driven analysis for structured insights.

Disclaimer

This article is for informational and technical education only. It does not constitute investment advice, endorsements, or recommendations. Evaluate tools and data sources critically and consider legal and compliance requirements before deployment.

Research

Practical Guide to Fabric API and Integrations

Token Metrics Team
5
MIN

Fabric API is a cornerstone for developers building permissioned blockchain solutions with Hyperledger Fabric. This article explains what Fabric APIs are, how they fit into Fabric's architecture, practical integration patterns, and how to evaluate tooling when you need reliable programmatic access to Fabric networks.

What is the Fabric API and why it matters

The term "Fabric API" broadly refers to the programmatic interfaces and SDKs that allow applications to interact with a Hyperledger Fabric network. These interfaces expose capabilities such as submitting transactions, querying ledger state, managing identities via Fabric CA, and deploying or invoking chaincode (smart contracts). For enterprise use cases—supply chain auditing, tokenized assets, or confidential data flows—the Fabric API is the gateway between business logic and the distributed ledger.

Key characteristics of Fabric APIs include:

  • Permissioned access: operations are gated by identity and certificate-based authentication.
  • Support for multiple languages: SDKs and chaincode runtimes enable JavaScript/TypeScript, Go, Java, and more.
  • Gateway patterns: modern Fabric versions favor the Gateway API for simplified connection management and transaction lifecycle handling.

Core components and SDKs to know

Interacting with Fabric typically involves several layers. Understanding these helps you choose the right API surface for your application:

  1. Fabric Gateway API: A high-level client API that simplifies endorsement, submission, and event handling. It abstracts peers, orderers, and channel configuration so developers can focus on transactions.
  2. Fabric SDKs: Language-specific SDKs (Node.js, Java, Go) provide programmatic access where fine-grained control is required—example: advanced endorsement policies, custom discovery, or private data collection management.
  3. Chaincode APIs: Chaincode runtimes expose an API surface for smart contract logic to access ledger state, emit events, and perform composite key queries.
  4. Fabric CA API: Certificate Authority endpoints for identity lifecycle operations—enrollment, revocation, and affiliation management—accessible via REST or SDK wrappers.
  5. REST/Proxy layers: Many deployments add a REST façade or API gateway in front of Fabric to translate HTTP requests to SDK calls, add RBAC, rate limiting, and telemetry.

Design patterns and integration best practices

Choosing how to surface Fabric functionality depends on risk, latency, and operational model. Common patterns include:

  • Direct SDK clients: Suitable for backend services with secure key management that need direct ledger access and deterministic transaction flows.
  • Gateway + Microservice: Use the Fabric Gateway for transaction orchestration behind microservices that encapsulate business logic and validation.
  • REST API gateway: A REST façade simplifies integration with web and mobile apps. Add authorization checks, input validation, and transformation layers to prevent malformed transactions reaching the ledger.
  • Event-driven integrations: Subscribe to Fabric events (block/chaincode events) to trigger downstream processes or ML pipelines for analytics and monitoring.

Cross-cutting concerns to design for:

  • Identity management: Use Fabric CA and hardware-backed keys where possible; separate admin and application identities.
  • Determinism and validation: Ensure chaincode logic is deterministic and validated across peers to avoid endorsement failures.
  • Observability: Instrument SDK calls, latency, retry behavior, and endorsement responses to troubleshoot production issues.

Practical steps for building, testing, and securing Fabric API integrations

Follow a structured approach when integrating with Fabric networks:

  1. Prototype locally: Use test networks (Fabric samples or Docker-based local networks) to validate transaction flows and endorsement policies before deploying to staging.
  2. Choose the right API layer: For rapid development, the Gateway API with the Node SDK reduces boilerplate. For advanced control, use language-specific SDKs and custom connection profiles.
  3. Implement a façade for public clients: Never expose Fabric SDK credentials to browsers or untrusted environments—place a server-side API between clients and Fabric.
  4. Automate CI/CD: Include unit tests for chaincode logic, integration tests against ephemeral networks, and deployment pipelines for chaincode packaging and approvals.
  5. Security posture: Enforce TLS, rotate certificates, isolate admin operations, and employ least-privilege identities for applications.

Testing tips: use channel-level mock data, replay recorded endorsement responses for deterministic unit tests, and simulate peer failures to validate client retry logic.

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: What is the Fabric API?

The Fabric API comprises SDKs, the Gateway API, chaincode interfaces, and CA endpoints that let applications manage identities, submit transactions, and query ledger state on Hyperledger Fabric networks.

FAQ: How do I choose between Gateway and direct SDKs?

Use the Gateway API for simpler, high-level transaction workflows and reduced configuration. Choose direct SDKs when you need low-level control over discovery, endorsement policies, or custom peer selection logic.

FAQ: Can I expose Fabric functionality via REST?

Yes. Implement a secure REST proxy or API gateway to translate HTTP calls to Fabric SDK operations. This adds flexibility for web/mobile clients but requires careful identity and input validation.

FAQ: What are best practices for identity and key management?

Use Fabric CA for certificate issuance, adopt hardware-backed key stores where possible, separate admin and app roles, and rotate/revoke certificates according to policy. Avoid embedding private keys in client-side code.

FAQ: How should I monitor Fabric API usage and performance?

Instrument SDK calls, capture latency and endorsement statistics, log chaincode events, and integrate with observability stacks (Prometheus/Grafana). Monitor peer health and orderer topology to correlate API issues with network state.

FAQ: What common pitfalls should I watch for?

Common issues include endorsement mismatches due to non-deterministic chaincode, exposing credentials to clients, insufficient testing of policy changes, and lacking observability for transaction failures.

Disclaimer: This article is educational and technical in nature. It does not provide financial, legal, or regulatory advice. Implementations should be validated against your organization's compliance and security requirements.

Research

REST API Explained: Design, Security & Best Practices

Token Metrics Team
4
MIN

REST APIs are the connective tissue of modern web and mobile applications. Whether you're integrating services, building microservices, or exposing data for AI agents, a clear grasp of REST API principles helps you design interfaces that are maintainable, performant, and secure. This guide walks through the core concepts, practical design patterns, authentication and security considerations, and tooling that make REST APIs reliable in production.

What is a REST API and core principles

REST (Representational State Transfer) is an architectural style that uses standard HTTP verbs and status codes to manipulate resources. Key tenets include:

  • Statelessness: Each request contains all information needed to process it; servers don’t maintain client session state.
  • Resources and representations: Resources are identified by URIs; responses return representations (JSON, XML) describing resource state.
  • Uniform interface: Use predictable HTTP methods (GET, POST, PUT, DELETE, PATCH) and status codes for consistent client-server interaction.
  • Layered system: Clients need not be aware of whether they communicate with the origin server or an intermediary.

Understanding these principles helps when choosing between REST, GraphQL, or RPC for a given use case. REST is well-suited for CRUD-style operations, caching, and wide compatibility with HTTP tooling.

Design patterns: resources, versioning, and idempotency

Good API design starts with modeling resources and their relationships. Practical patterns include:

  • Resource naming: Use plural nouns and hierarchical paths (e.g., /users/{userId}/orders).
  • Versioning: Use URL or header-based versioning (e.g., /v1/ or Accept header) to avoid breaking clients.
  • Idempotency: Ensure methods like PUT and DELETE can be retried safely; supply idempotency keys for POST when necessary.
  • Pagination and filtering: Provide cursor-based or offset-based pagination, with clear metadata for total counts and next cursors.

Design with backward compatibility in mind: deprecate endpoints with clear timelines, and prefer additive changes over breaking ones.

Authentication, authorization, and security considerations

Security is non-negotiable. Common, interoperable mechanisms include:

  • API keys: Simple and useful for identifying applications, but pair with TLS and usage restrictions.
  • OAuth 2.0: Industry-standard for delegated authorization in user-centric flows; combine with short-lived tokens and refresh tokens.
  • JWTs: JSON Web Tokens are compact bearer tokens useful for stateless auth; validate signatures and expiration, and avoid storing sensitive data in payloads.
  • Transport security: Enforce TLS (HTTPS) everywhere and use HSTS policies; mitigate mixed-content risks.
  • Rate limiting & throttling: Protect backends from abuse and accidental spikes; return clear headers that expose remaining quota and reset times.

Also consider CORS policies, input validation, and strict output encoding to reduce injection risks. Implement principle of least privilege for every endpoint and role.

Performance, observability, and tooling

Operational maturity requires monitoring and testing across the lifecycle. Focus on these areas:

  • Caching: Use HTTP cache headers (Cache-Control, ETag) and CDN fronting for public resources to reduce latency and load.
  • Instrumentation: Emit structured logs, request traces (OpenTelemetry), and metrics (latency, error rate, throughput) to diagnose issues quickly.
  • API specifications: Define schemas with OpenAPI/Swagger to enable client generation, validation, and interactive docs.
  • Testing: Automate contract tests, integration tests, and fuzzing for edge cases; run load tests to establish scaling limits.
  • Developer experience: Provide SDKs, clear examples, and consistent error messages to accelerate integration and reduce support overhead.

Tooling choices—Postman, Insomnia, Swagger UI, or automated CI checks—help maintain quality as the API evolves. For AI-driven integrations, exposing well-documented JSON schemas and stable endpoints is critical.

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 REST and when should I choose it?

REST is ideal for resource-oriented services where standard HTTP semantics are beneficial. Choose REST when caching, simplicity, wide client compatibility, and predictable CRUD semantics are priorities. For highly dynamic queries, consider GraphQL as a complement rather than a replacement.

How do I manage breaking changes?

Version endpoints, use feature flags, and publish changelogs with migration guides. Prefer additive changes (new fields, new endpoints) and give clients time to migrate before removing legacy behavior.

What authentication method should I implement?

Match the method to the use case: API keys for server-to-server integrations, OAuth 2.0 for delegated user access, and JWTs for stateless session claims. Always layer these with TLS and short token lifetimes.

How should I handle rate limits and abuse?

Enforce per-key and per-IP limits, surface quota headers, and provide graceful 429 responses with a Retry-After header. Use adaptive throttling to protect critical downstream systems.

Which tools help maintain a healthy API lifecycle?

Adopt OpenAPI for specs, use Postman or Swagger UI for exploratory testing, integrate contract tests into CI, and deploy observability stacks (Prometheus, Grafana, OpenTelemetry) to monitor behavior in production.

Disclaimer

This article is for educational and technical guidance only. It does not constitute legal, security, or operational advice. Evaluate risks and compliance requirements against your own environment before implementing changes.

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Research

How Token Metrics Spotted HYPE Before the Breakout — And Why It Matters for Every Crypto Trader

Token Metrics Team
4 min
MIN

The crypto market has been a rollercoaster lately.

Bitcoin is dipping. Altcoins are bleeding. Sentiment across the board is skittish. Fear is gripping retail traders — and in times like these, many are unsure where to turn, what to buy, or when to hold back.

But not everyone’s losing.

Some traders are still finding wins. One example? Hyperliquid (HYPE) — a standout performer in April 2025. And here’s the kicker: Token Metrics called the move before it happened.

While most traders were distracted by meme coins or frozen in fear, Token Metrics users were riding a +51.8% breakout, armed with AI-driven insights and data-backed confidence. This blog breaks down what happened, how Token Metrics spotted the trade before the crowd, and what tools you can use today to find the next HYPE-level breakout before it happens.

The Hyperliquid Surge: What Happened?

On April 14, while much of Crypto Twitter was silent on HYPE, Token Metrics issued a bullish signal on the token. The platform’s AI-powered Trader Grade identified a strong setup forming — based on technical indicators, rising volume, and early momentum shifts.

That signal marked the beginning of a +51.8% price surge, which saw HYPE peak at $38.50 before a broad market correction pulled it back to ~$32.40.

Even with the correction, traders who acted on the early signal locked in solid profits, exited smart, or are now watching for the next move with eyes wide open — guided by grades, not guesswork.

Why Token Metrics Got It Right — When Others Missed It

While most platforms react to price action after it happens, Token Metrics is built to anticipate movement before it’s obvious. Here’s how:

Technical Momentum Detection

The Trader Grade analyzes short-term price action, RSI trends, MACD crossovers, breakout patterns, and dozens of other technical indicators. HYPE’s chart showed tightening consolidation and rising buy volume — and TM’s systems flagged it in real time.

Volume Spike Recognition

One of the earliest clues in any breakout is an uptick in volume. Token Metrics identifies surging liquidity that precedes breakouts — something that traditional screeners miss or catch late.

Narrative Tracking

Hyperliquid was part of a subtle but growing "on-chain perpetuals" narrative — a theme most traders weren’t tracking yet. TM’s AI-powered narrative filters helped surface HYPE as an early player in a trending category.

Signal Strength Confidence

Token Metrics doesn’t just throw out signals randomly. The platform assigns confidence scores based on data quality, historical performance, and AI pattern recognition. HYPE didn’t just look good — it looked statistically strong.

Current Situation: Pullback or Setup?

After topping at $38.50, HYPE retraced — now sitting about 15.8% below its high. Some might see weakness. But Token Metrics helps traders read beyond the price:

  • 📈 Trader Grade still says “Buy” — meaning short-to-mid-term bullish momentum is intact.
  • 🟡 Investor Grade is Neutral — a smart, cautious stance until more long-term data emerges.
  • 🔍 Key Level: $32 — this is the zone bulls need to defend to keep the trend alive.

This context is what makes Token Metrics invaluable. While the crowd panics, TM users stay informed, balanced, and ready.

Token Metrics in Action: Trading with Data, Not Emotion

Let’s zoom out. Why does this matter for your trading journey?

Most traders operate on emotion, social media chatter, or FOMO. Token Metrics flips that model on its head — giving you a complete data-driven crypto trading toolkit:

🧠 AI-Powered Trader Grades

These grades score tokens on a 0–100 scale based on short-term technical momentum. A Trader Grade above 80 often precedes a strong move — as seen with HYPE.

📊 Investor Grades for Long-Term Confidence

Built from 80+ on-chain and off-chain data points — including liquidity, tokenomics, VC backers, exchange listings, community engagement, and developer activity.

📈 Real-Time Market Signals

Get alerted when a new bullish or bearish signal is triggered. These alerts are based on pattern recognition, performance history, and current price action.

🌐 Narrative Filters

Narratives drive price — from DeFi Summer to AI Agent tokens. TM helps you stay on top of evolving themes and find the tokens leading those trends early.

🔔 Alerts & Watchlists

Set custom alerts for grade movements, bold signals, or top gainer movements — so you never miss a trade even when you’re not glued to the screen.

Key Trading Benefits of Using Token Metrics

Let’s break it down: Why use Token Metrics instead of trading blindly?

1. Spot Breakouts Early

Tools like the Market Page and Top Gainers tab help you spot tokens heating up — before they explode. You won’t be the one buying at the top anymore.

2. Avoid FOMO and Bad Buys

TM’s objective grades help filter out low-quality tokens. You can avoid chasing scams or hype-based pumps with no foundation.

3. Simplify Your Research

Instead of spending hours flipping through charts and Twitter threads, Token Metrics gives you instant, high-signal data — all in one place.

4. Trade With Confidence

Whether you’re swing trading or building a long-term bag, the Trader and Investor Grades help validate (or invalidate) your bias.

5. Stay Ahead of Market Rotations

The crypto market rotates fast. Token Metrics surfaces where capital is flowing — and which narratives are gaining strength — so you can rotate with it.

What to Do Next: Trade the Signal, Not the Crowd

Looking ahead, HYPE’s next move depends on what happens at the $32 support zone:

  • ✅ If it holds: there’s room for upside continuation. The Trader Grade supports it.
  • ❌ If it breaks: eyes shift to $25 — a critical support where new buyers may step in.

Either way, Token Metrics users won’t be guessing. They’ll wait for the next signal — bullish or bearish — and make calculated moves based on real data.

This is the difference between reactive trading and strategic trading.

Final Takeaway: Token Metrics Helps You Trade Smarter, Not Harder

The HYPE breakout wasn’t luck. It was the result of acting on strong, data-backed signals before the crowd caught on.

If you’re tired of chasing pumps, panicking in drawdowns, or wondering why others always seem to find winners early, then it's time to level up.

With Token Metrics, you can:

  • 🔍 Spot early movers like HYPE
  • 📊 Trade with AI-powered confidence
  • 📈 Get in before the trend — and exit before the crash
  • 🧠 Make every trade a calculated decision

Ready to Catch the Next HYPE?

Join thousands of traders using Token Metrics to find breakout tokens before they pump.

👉 Explore the platform now at tokenmetrics.com
👉 Get real-time signals, bold alerts, and daily data updates
👉 Trade with structure — not speculation

Because in crypto, the edge goes to the trader with information, not emotion.

Research

Solana Price Action: Will the Bulls Regain Control? Token Metrics Signals Offer Clues

Token Metrics Team
4 min
MIN

Solana has been one of the most closely watched altcoins in the 2025 crypto cycle. With its blazing speed, developer activity, and expanding DePIN ecosystem, Solana has remained on every smart investor’s radar. But with the broader market pulling back sharply — and Bitcoin dipping below $105K — traders are asking: Is Solana still a buy?

Token Metrics' AI-powered tools offer critical insights into this volatile moment.

April's Bullish Signal Paid Off
Token Metrics’ proprietary indicator turned bullish on Solana on April 19, when the price was just $138.18. That signal wasn’t just noise. Within a month, Solana surged by 33.1%, reaching $184 by May 23.

This kind of real-time, data-driven signal is exactly why traders are turning to Token Metrics. Rather than guessing or chasing hype, our platform delivers objective, AI-backed alerts that help traders enter early and exit intelligently.

The Pullback: Market-Wide, Not Solana-Specific
Fast forward to today, and the story has changed. Solana is undergoing a major pullback, largely driven by the overall market correction. Bitcoin’s slide below $105K has dragged most altcoins down, Solana included.

However, Token Metrics' Trader Grade for Solana is now 'Neutral' — not bearish. That’s a crucial distinction. While momentum has cooled, our system is not yet signaling a full reversal. That means there’s still room for recovery.

Technical Outlook: The $160 Level is Critical
Technical analysis highlights a key battleground at $160. If bulls can reclaim this level in the near term, the uptrend could resume. Failure to hold above it, however, could open the door for deeper losses.

Token Metrics users can monitor these levels in real-time with our dynamic charts, trend indicators, and updated market signals.

What Traders Should Watch Next

  • Market Signal Shift: If the Token Metrics market signal flips to bearish, it’s a red flag. Until then, volatility may still offer upside.
  • $160 Breakout: This is the technical threshold bulls must defend.
  • Volume and Sentiment: A spike in volume or positive narrative news could signal a reversal.

Conclusion
Solana remains a high-potential asset — but trading it without real-time analytics in this environment is risky. Token Metrics doesn’t just tell you what’s happening; it shows why it’s happening and what to do next.

Join Token Metrics today to access AI-powered trading signals, risk analysis, and the tools to trade crypto like a pro — even in uncertain markets.

Research

Bearish Signals Ahead? How to Spot Early Warnings Before a Crash

Token Metrics Team
4 min
MIN

In crypto, everything can change overnight. One minute the market’s bullish — the next, it’s bleeding red. That’s why the ability to spot bearish signals early is crucial for protecting capital and maximizing long-term gains. Token Metrics gives traders an edge with AI-driven alerts that help you act before the crash hits.

Why Most Traders Miss the Top
Retail traders often get caught in the hype. By the time “everyone” is talking about a token, it’s usually too late. The smartest investors are watching subtle changes in data: volume drops, negative sentiment, weakening momentum.

Token Metrics makes those patterns visible before price crashes.

What Is a Bearish Signal on Token Metrics?
A bearish signal is a warning based on:

  • Declining Trader Grade (below 30)
  • Negative ROI since signal
  • Volume drying up while price holds
  • Bearish crossover in trend indicators
  • Weakening fundamentals or fading narratives

These signals are automatically triggered and displayed on the Market Page.

How to Identify Bearish Tokens Early

  1. Sort by Negative ROI – See which tokens have declined most after a bold signal.
  2. Filter by Trader Grade < 30 – These are tokens losing short-term momentum.
  3. Look for Divergence – If price is flat but volume or sentiment drops, the setup may be turning bearish.

Behavioral Clues You Shouldn’t Ignore

  • Signal stops updating – Token Metrics halts signals when confidence fades.
  • Narrative dies down – No more tweets, community quiets down? Trouble ahead.
  • Trending to Stagnant – Tokens drop from Top Gainers list quickly.

Real Example: Avoiding Losses with Signal Data
Ian Balina mentioned how users avoided major losses by exiting weak tokens early thanks to falling grades and bearish signals. Instead of hoping, they acted — preserving capital and rotating into stronger plays like Launch Coin or AI tokens.

What to Do When You See Bearish Signs

  • Don’t panic – Act on data, not emotion.
  • Set stop-losses based on bold signal entry points.
  • Rotate capital into high-grade tokens or stablecoins.
  • Monitor daily – The market can flip from bullish to bearish in hours.

Combining Risk Management with Signals
Token Metrics isn’t just about finding moonshots. It’s also about knowing when not to buy or when to exit early. By using bearish signals, you protect yourself from downside while staying positioned for the next big opportunity.

Conclusion
The best crypto traders aren’t just profit-hunters — they’re risk managers. Bearish signals from Token Metrics help you anticipate weakness, reduce losses, and trade with clarity. In a volatile market, that edge can make all the difference.

Research

From Retail to Institutions: Who’s Driving the Crypto Market in 2025?

Token Metrics Team
4 min
MIN

Crypto markets are evolving — and fast. In the early days, retail investors dominated the space. But by 2025, the tides are shifting. Institutional investors, family offices, and algorithmic funds are entering the market at scale. This blog explores the growing divide — and how it’s reshaping opportunities for everyday traders.

The Rise of Institutional Money in Crypto
Over the last year, a new class of investors has emerged: professional firms with deep pockets and long-term horizons. They're no longer just “exploring crypto” — they’re actively deploying capital.

Why now?

  • Regulatory clarity in major jurisdictions
  • Bitcoin ETF approvals and crypto fund launches
  • Better custody, risk management, and analytics tools (including Token Metrics)

What Are Institutions Buying?
Institutions tend to avoid meme coins and hyper-volatility. Instead, they focus on:

  • Layer 1 Infrastructure – Ethereum alternatives like Sui and Avalanche
  • AI Tokens – Leveraging real-world utility and strong narratives
  • DeFi Blue Chips – Projects with consistent TVL and governance upgrades
  • Stable Yield Strategies – On-chain bonds, staking, and real-world asset tokens

Token Metrics has seen a spike in institutional users filtering by Investor Grade and project fundamentals.

Retail Traders Still Dominate One Arena
Retail traders are far from out — they dominate high-volatility narratives:

  • Meme tokens
  • Social coin launches (e.g., Launchcoin)
  • Short-term speculation based on influencer sentiment

Retail’s edge? Speed, risk tolerance, and virality. Many of Token Metrics’ bold signals still originate from this activity before institutions catch on.

Token Metrics Bridging the Divide
What makes Token Metrics powerful in 2025 is its ability to serve both segments:

  • Institutions use it for due diligence, grades, and long-term planning.
  • Retail traders use it for short-term signals, alerts, and narrative tracking.

This dual capability creates a level playing field, where data, not capital, is the edge.

How to Trade Based on Who’s in Control

  1. When institutions lead – expect slower but more sustainable growth. Focus on high Investor Grade tokens.
  2. When retail leads – expect fast-moving pumps and dumps. Use high Trader Grade + bold signals.
  3. Hybrid phase (now) – Use both metrics to balance volatility and long-term conviction.

Market Behavior Patterns to Watch

  • Low volatility + high inflows → Institutional buildup
  • High volume + sudden spikes → Retail-driven narratives
  • Diverging BTC vs. altcoin trends → Mixed sentiment cycles

Conclusion
The crypto market in 2025 is being driven by both the old guard and the new wave. Institutions bring maturity. Retail brings momentum. Smart investors use tools like Token Metrics to read the room — and position themselves accordingly.

Research

Trader vs. Investor Grade: How to Use Both for Smarter Crypto Bets

Token Metrics Team
4 min
MIN

Crypto trading success often boils down to timing. But how do you know when to enter — and when to stay long? Token Metrics solves this dilemma with a dual-grade system: Trader Grade and Investor Grade. Each grade serves a different investment goal, and together, they help you make more confident decisions, whether you’re day trading or holding for the long run.

What is the Trader Grade?
The Trader Grade measures short-term momentum. It uses AI to analyze price action, volume trends, technical indicators, and recent sentiment shifts. Scores range from 0 to 100, and a score above 80 signals strong short-term potential.

Use Case:

  • Perfect for swing traders and short-term opportunists.
  • Look for tokens with Trader Grade > 80 for potential breakout trades.
  • Example: Launchcoin had a Trader Grade above 90 before its 35x rally began.

What is the Investor Grade?
The Investor Grade focuses on long-term fundamentals. It’s designed for those who want to hold tokens for months or even years. This grade considers tokenomics, development activity, ecosystem strength, narrative alignment, and long-term price structure.

Use Case:

  • Ideal for long-term portfolio builders.
  • A token with Investor Grade > 80 is a strong candidate for accumulation.
  • AI infrastructure tokens and modular blockchains often rank high here.

Why Use Both?
Most traders fail by only looking at hype or short-term charts. Token Metrics lets you blend data:

  • High Trader Grade + Low Investor Grade? Consider a short-term trade, not a long hold.
  • High Investor Grade + Low Trader Grade? Consider waiting for a better entry point.
  • Both High? Green light for confidence in both entry and long-term performance.

Case Study: Balancing Your Portfolio with Grades
Users can use the dual-grade approach for smarter allocation:

  • 30% of capital to high Trader Grade tokens (short-term plays)
  • 70% to high Investor Grade tokens (long-term holds)

This method helps mitigate risk and improve overall ROI.

Where to Find the Grades
Both grades are displayed prominently across:

  • Token Detail Pages – Real-time grade updates with historical data
  • Market Page Filters – Sort tokens by grade thresholds
  • Portfolio Builder Tool – Automatically selects tokens with strong grades

Tips for Grade-Based Trading

  1. Use Trader Grade for volatile markets or when prices are accelerating.
  2. Use Investor Grade when building positions in strong narratives like AI, DeFi, or infrastructure.
  3. Avoid tokens with both grades below 60 unless you’re making a speculative bet.

Conclusion
Trading without context is gambling. Token Metrics’ Trader and Investor Grades give you a proven framework for assessing both momentum and fundamentals. Whether you’re here for a quick flip or a long-term bet, using the dual-grade system can level up your crypto strategy.

Announcements

Inside the Dashboard: How to Monitor API Key Activity and Monthly Usage in Real Time

Token Metrics Team
5 min
MIN

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. That’s why the Token Metrics API Dashboard is more than just a place to generate keys — it’s your real-time command center for monitoring API key usage, managing access, and optimizing performance.

In this article, we’ll explore how to use the Token Metrics API Dashboard to stay in control of your app’s data usage, track request history, and ensure your integrations remain secure and efficient.

📍 Where to Find It

To access the dashboard:

  1. Log in to your Token Metrics account.
  2. Go to: https://app.tokenmetrics.com/en/api
  3. Navigate to the API Keys and API Usage sections.

🔐 View and Manage API Keys

The API Keys section gives you a complete overview of every active key associated with your account. For each key, you’ll see:

  • Key Name: Descriptive labels like "Bot A" or "Staging Server"
  • Created Date: When the key was generated
  • Last Used: Timestamp of the most recent request
  • Status: Active or inactive toggle
  • Actions: Trash icon to instantly delete a key

💡 Why It Matters:

  • Spot unused or stale keys that may pose a security risk
  • Instantly disable or delete a key if it’s compromised
  • Monitor which app or environment is making the most requests

📊 Monitor API Usage in Real-Time

In the Usage Dashboard, Token Metrics gives you deep insights into how your API credits are being used.

Key metrics include:

  • API Calls Graph
    A daily call volume chart so you can identify peaks in usage, anomalies, or unexpected surges.

  • Total Monthly API Calls
    Example:
    8,750 / 20,000
    See how much of your monthly quota you’ve used — and when it resets.

  • Remaining API Credits
    Know exactly how many calls you have left in your current cycle.

  • API Call Statistics Table
    Each row includes:

    • Endpoint accessed (e.g., /trader-grade)
    • Timestamp of the request
    • Status code (200 = success, 401 = unauthorized, etc.)
    • Originating IP address
    • Success/failure response

🔄 Debugging & Insights Made Easy

This dashboard doesn’t just monitor—it helps you debug and optimize.

  • Quickly identify if your integration is repeatedly hitting 400 or 403 errors
  • Check whether a specific key is being overused or underused
  • Pinpoint spikes in usage that may indicate unauthorized access
  • See which endpoints are called most often — and consider caching results

⚠️ Avoid Rate Limit Surprises

If you’re on a Basic or Advanced plan, you’ll have a rate limit (e.g., 1 req/min for free users, up to 600 req/min for VIPs). The dashboard helps ensure you stay within your limits — and scale appropriately when needed.

🚀 Build Better with Transparency

In a production environment, visibility into API activity is critical. With Token Metrics, you’re never flying blind. You always know:

  • Which app is using which key
  • How many credits you’re using
  • When to optimize or upgrade

From security to scaling, the Token Metrics API Dashboard gives you the insight you need to build with clarity and control.

👉 Launch Your API Dashboard Now → tokenmetrics.com/api

Research

Is the Crypto Market Bullish or Bearish? Why 2025 Is the Year of Neutral Momentum

Token Metrics Team
3 min
MIN

The crypto market isn't clearly bullish or bearish in mid-2025 — it's neutral. This article explores why this 'in-between' momentum could signal a maturing market cycle, and what investors should watch for as signals normalize after a sharp $1T rebound in total market cap.

As we navigate through the midpoint of 2025, one question dominates trading desks and Telegram groups alike: Is the crypto market bullish or bearish? Surprisingly, the answer might be neither. Current indicators suggest that we are in a neutral zone — an ambiguous space where the market is no longer surging with euphoric gains but isn’t plunging into panic either.

From January through mid-May, the total crypto market cap has grown from $1 trillion to $2 trillion. This swift rebound signals recovery, but not full-blown optimism. Instead, many analysts — ourselves included — interpret this as a healthy correction and stabilization following intense early-year volatility.

This kind of environment often marks the early stages of a maturing cycle. Unlike the sharp swings we saw in previous bull and bear markets, 2025’s trend suggests more measured growth, driven by fundamentals rather than hype. In other words, the market might finally be learning from its past.

That doesn’t mean the space lacks activity. Sectors like DeFi lending and AI-related tokens continue to gain traction, with significant TVL inflows. Retail interest in meme coins also remains high in select regions. But overall, what we’re seeing is consolidation — not chaos.

In this neutral setting, strategy matters more than sentiment. It's no longer about jumping into trending narratives or panic-selling on dips. Instead, identifying projects with real use cases, sustainable economics, and strong communities has become the foundation of long-term success.

For traders and builders alike, the current landscape offers both challenges and opportunities. Risk-adjusted returns are key, and disciplined portfolio rebalancing could be one of the most underrated strategies right now.

As we continue monitoring market signals, we remain committed to surfacing actionable insights backed by real-time data, not just narratives. Whether the next breakout is weeks or months away, staying informed — and unemotional — may prove to be your best edge.

How Token Metrics Helps in a Neutral Market Environment:

In times of neutral momentum, making profitable crypto decisions becomes more complex — and that's where Token Metrics shines:

  1. Actionable AI Signals:
    Token Metrics scans thousands of tokens daily, using over 80 data points to identify bullish and bearish trends even when market sentiment is flat. This helps users cut through noise and act on real opportunities.
  2. Investor & Trader Grades:
    When hype fades, fundamentals matter. Our proprietary grades evaluate both short-term momentum and long-term viability, helping users discover tokens with staying power — not just temporary pumps.
  3. Smart Rebalancing Alerts:
    In a consolidating market, maintaining the right portfolio mix is crucial. Token Metrics' indices and alerts help users rebalance regularly to lock in gains and minimize downside risks.
  4. Sector-Based Insights:
    With DeFi, AI, and meme coins behaving differently, Token Metrics allows users to dive deep into sector-specific analytics — so you can position ahead of capital flows.
  5. Sentiment & Volume Monitoring:
    Our platform tracks shifts in on-chain activity, social sentiment, and volume trends to spot early signs of market reversals — especially useful when traditional signals stall.

In a market where being early beats being emotional, Token Metrics equips you with the clarity and tools to trade with confidence.

Announcements

🚀 Announcing the Launch of the Token Metrics API & SDK — Powered by $TMAI

Token Metrics Team
5 min
MIN

Introducing the Token Metrics API: Power Your Crypto Tools with AI-Driven Intelligence

We’re thrilled to announce one of our most important product launches to date: the Token Metrics API is now live.

This powerful crypto API gives developers, quant traders, and crypto startups direct access to the core AI infrastructure that powers the Token Metrics platform. Whether you’re building trading agents, investor dashboards, research tools, or mobile apps, our API and SDKs provide everything you need to build with real-time crypto data and intelligence—right out of the box.

For the first time, you can plug into the same AI API that drives our ratings, signals, and predictions—and embed it directly into your products, tools, or internal systems.

🔍 What’s Inside the Token Metrics API?

Our crypto API is designed to give you high-performance access to the exact data models we use in-house:

✅ AI Trading Signals

Access bullish and bearish calls across thousands of tokens. These API endpoints are powered by machine learning models trained on historical price action, sentiment data, and blockchain activity.

✅ Investor & Trader Grades

Through our API, you can pull dynamic 0–100 grades on any token. Designed for long-term or short-term views, these scores factor in volatility, momentum, market cap trends, and our proprietary AI predictions.

✅ AI Reports & Conversation Crypto Agent

Query the API to generate custom reports and insights using our smart crypto assistant. Analyze market trends, token health, and investment opportunities—without writing your own models.

✅ Token Performance Data

Retrieve token-level analytics like ROI, predictive volatility, and asset rankings. Perfect for powering dashboards, investor tools, or internal models.

✅ Market Sentiment Models

Use the API to access our AI-modeled sentiment engine, built from social media, news data, and trend signals—ideal for gauging crowd psychology.

All Token Metrics API endpoints are RESTful, fast, and easy to integrate. SDKs for Python, Node.js, and other environments help developers onboard quickly.

🛠️ What You Can Build With the Token Metrics API

Our users are already building next-gen tools and automation using the Token Metrics API:

  • 🤖 CEX Trading Agents — Automate entries and exits with real-time signals and token grades
  • ⛓️ DEX Arbitrage Engines — Scan price differences across DeFi and act instantly
  • 📊 Analytics Dashboards — Build data-driven tools with predictive metrics and visualizations
  • 💬 Alert Bots for Telegram & Discord — Deliver actionable alerts using our signal API
  • 📱 Web & Mobile Crypto Apps — Enhance portfolios and research apps with AI intelligence

With just a few lines of code and an API key, you can turn static crypto apps into dynamic, intelligent systems.

💸 Affordable Pricing & $TMAI Utility

We’ve designed our crypto API pricing to be flexible and accessible:

  • Plans start at $99/month, with high usage limits
  • Save up to 35% when you pay with our native token, $TMAI
  • All tiers include access to powerful AI tools and real-time crypto data

Whether you're a solo dev or scaling a trading startup, there’s a plan built for you. Paying with $TMAI also deepens your utility in the Token Metrics ecosystem—this is just the beginning of native token perks.

🧪 Try the Token Metrics API for Free

Not ready to commit? Try our free API tier with:

  • Limited endpoints to explore
  • Access to live documentation and test queries
  • Sample code and SDKs for instant implementation

Start exploring at tokenmetrics.com/api

🌐 Why We Built This Crypto API

Token Metrics has always been focused on empowering smarter investing. But as the market evolves, we believe the future lies in infrastructure, automation, and open access.

That’s why we built the Token Metrics API—to give developers access to the exact AI systems we use ourselves. Our models have been fine-tuned over years, and now, that same intelligence can power your platform, tools, or trading agents.

Whether you're building research platforms, signal-based apps, or automated execution tools—this API is your edge.

⚡ Start Building with Token Metrics API for FREE→ tokenmetrics.com/api

The crypto market never sleeps—and with the Token Metrics API, neither do your tools.

Research

Inside Token Metrics’ Market Page Upgrade: Smarter Signal Discovery

Token Metrics Team
5 min
MIN

Introduction
With thousands of crypto tokens flooding the market, finding the best-performing assets can feel like searching for a needle in a haystack. Token Metrics is solving this with a revamped Market Page experience — designed to surface top signals faster and help users make smarter trading decisions.

Why the Market Page Matters
The Market Page is the heartbeat of Token Metrics' analytics platform. It showcases real-time data on the latest bullish and bearish signals across tokens, providing users with instant access to the platform’s top-rated opportunities. With the recent update, it’s now more powerful and user-friendly than ever.

What’s New in the Market Page?

  1. Top-Performing Signals First – The layout now prioritizes tokens with the highest ROI bold signals. This means the most alpha-generating opportunities are surfaced first — saving users valuable time.
  2. Smarter Filters – Users can sort by return, grade, time frame, and signal type. Want only tokens with a Trader Grade above 80? Just one click away.
  3. Improved Visuals – A cleaner UI now highlights key metrics like entry price, ROI since signal, and latest update date.

How It Helps Traders
This upgrade isn't just cosmetic. It fundamentally changes how traders interact with the platform:

  • Faster decision-making by highlighting the best signals up front
  • Better precision using advanced filters for investor profiles
  • Increased confidence from seeing clear data behind every signal

Case Study: Launch Coin
Launch Coin, the best performing token in 2025 with a 35x return, was identified early thanks to the Market Page’s bold signal tracking. Its signal rose to the top immediately after performance started climbing — helping early users lock in life-changing gains.

How to Use the Market Page Like a Pro

  1. Visit the Market Page daily to track new signal updates
  2. Filter by 24H/7D ROI to catch fast movers
  3. Use Grades to Align with Your Strategy
  4. Follow Narratives: Filter by AI, DeFi, Gaming, and other emerging themes

The Power of Daily Signals
With market conditions changing fast, the daily updates on the Market Page give Token Metrics users an edge — surfacing fresh opportunities before they trend on social media or make headlines.

Conclusion
The new Market Page isn’t just a dashboard — it’s a discovery engine. Designed for both beginner and experienced traders, it brings clarity, speed, and precision to crypto investing.

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