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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

Bitcoin vs. Altcoin Season: Where the Market's Headed in 2025

Token Metrics Team
5 min
MIN

Introduction
In the ever-evolving world of crypto, understanding the cyclical relationship between Bitcoin and altcoins is crucial for successful trading. During Token Metrics’ latest market update, Ian Balina highlighted key indicators pointing to a shift in momentum — possibly signaling the return of an altcoin season.

What Is Altcoin Season?
Altcoin season is a period in the crypto market where altcoins outperform Bitcoin in terms of price gains. Historically, this shift occurs when Bitcoin stabilizes after a rally, giving room for capital rotation into smaller-cap tokens with higher risk/reward potential.

Bitcoin’s Dominance and the Signs of Rotation
As of May 2025, Bitcoin remains a market anchor, but its dominance is showing signs of plateauing. Ian pointed out that capital is beginning to flow into AI tokens, new infrastructure plays, and community-driven projects like Launchcoin — which has already returned 35x gains. These trends are classic precursors to altcoin season.

Top Performing Altcoins Identified by Token Metrics
Token Metrics’ bold signals have identified several high-performing altcoins, such as:

  • Launchcoin: 35x gain since the signal triggered.
  • AI Infrastructure Tokens: Benefiting from the broader AI narrative in crypto.
  • DeFi 2.0 Protocols: Getting renewed attention amid institutional interest.

Key Indicators to Watch

  1. Bitcoin Dominance Chart – A drop below 50% dominance often precedes altcoin rallies.
  2. Volume Trends – Increasing volume on altcoin pairs indicates rising interest.
  3. Token Metrics Grades – Look for altcoins with high Trader and Investor Grades — a dual signal of short- and long-term strength.

How to Prepare Your Portfolio
Traders should consider gradual rotation — locking in BTC gains and reallocating to top-rated altcoins. Using Token Metrics’ tools:

  • Monitor daily signal updates
  • Filter by Trader Grade > 80 and recent bold signals
  • Keep an eye on AI and DeFi narratives, as they dominate 2025’s momentum

Conclusion
Whether we’re entering a full-blown altcoin season or just a mini-cycle, the signals are clear: capital is rotating. Use data, not guesswork. With Token Metrics’ AI-powered tools, you can identify high-potential opportunities and stay ahead of the curve in both Bitcoin and altcoin markets.

Research

Rise of AI Coins: How AI Narratives Are Fueling the Next Bull Run

Token Metrics Team
4 min
MIN

Introduction
AI is no longer just a tech buzzword — it’s a dominant force driving the next wave of crypto innovation. In 2025, artificial intelligence has found a new frontier: blockchain. From infrastructure protocols to AI-native tokens, the market is seeing a surge in interest, investment, and returns for coins tied to the AI narrative. Token Metrics is at the forefront, helping users identify these explosive opportunities.

Why AI Coins Are Surging
The intersection of AI and crypto isn’t random. Three forces are converging to power this narrative:

  1. Mainstream AI Adoption – With tools like ChatGPT and Claude going mainstream, interest in AI has exploded.
  2. Decentralized Intelligence – Blockchain offers a secure, transparent way to distribute AI models and datasets.
  3. Speculative Momentum – The hype around AI is creating high-risk, high-reward token launches with strong upside potential.

Token Metrics’ AI Token Detection Strategy
Token Metrics uses its proprietary AI to identify early momentum in the market. Here's how it helped surface the best-performing AI tokens:

  • Volume spikes and unusual trading patterns
  • Token grades showing >80 Trader Score
  • Bold signals based on narrative tracking
  • Cross-chain analysis for upcoming projects

Ian Balina noted during the recent webinar that several AI coins have already delivered outsized returns — and this is just the beginning.

Examples of AI Tokens to Watch

  • Launch Coin – While not an AI token itself, its virality shows how fast narratives spread.
  • AI Infrastructure Projects – Platforms building decentralized compute for training and deploying models.
  • AI DeFi Hybrids – Tokens merging machine learning with trading, risk management, or yield optimization.

How to Ride the AI Wave
Using the Token Metrics platform, here’s how to position your portfolio:

  • Use Bold Signals: Sort by AI narrative to find breakout projects.
  • Set Alerts: Monitor new signal generation across top AI narratives.
  • Filter by Grade: Combine high Trader Grade with AI tag for high-conviction trades.

What This Means for Investors
The AI narrative is not a flash in the pan. It represents a paradigm shift in both technology and finance. Tokens that combine utility, vision, and timing will thrive. As always, early entry is key — and that’s where Token Metrics’ daily insights give users the edge.

Conclusion
AI tokens are fueling the next crypto bull run — and the smartest investors are already positioned. With real-time signals, narrative filters, and AI-powered grading, Token Metrics is your map through the chaos. The next big opportunity may already be on the Market Page.

Research

📈 Launch Coin’s Wild Ride: From 54 SOL to $4 Million

Token Metrics Team
4 min
MIN

The crypto world thrives on narratives, and few have captured attention in recent weeks like Launchcoin. Born from a blend of SocialFi innovation and meme-driven virality, Launchcoin has surged into the spotlight—offering both eye-popping returns and warnings of extreme volatility. Powered by Token Metrics’ AI insights, here’s a detailed look at where Launchcoin stands today.

🚀 AI Detected the Breakout Early

On April 20, 2025, Token Metrics’ proprietary AI model flipped bullish on Launchcoin. Since then, the token has rallied over 3x, proving the strength of the signal. Backed by machine learning models that track on-chain data, sentiment, and price action across multiple timeframes, the Trader Grade for Launchcoin is currently at a whopping 93.15%, designating it a Strong Buy in the short term.

However, after such an exponential surge, the platform’s analysts expect natural pullbacks as early buyers and whales begin to take profits. These corrections are healthy and expected in any meteoric price run—and should not be confused with a loss of fundamental strength.

🧠 Token Metrics Investor Grade: A Balanced Perspective

While short-term indicators are overwhelmingly bullish, the Investor Grade remains neutral, pointing to a more measured view on Launchcoin’s long-term potential. This signals that while there’s momentum, there are still structural risks—particularly due to its meme coin characteristics and reliance on hype cycles.

Still, a neutral long-term grade isn’t bearish. It suggests Launchcoin is currently stable at its elevated valuation, but investors should monitor developments carefully—especially as new features and ecosystem growth unfold.

📈 Launchcoin’s Wild Ride: From 54 SOL to $4 Million

The Launchcoin story has already minted millionaires. One trader reportedly turned an $8,191 investment (54 SOL) into $4 million after purchasing 14.62 million LAUNCHCOIN tokens when the market cap was below $500,000. This kind of exponential return is rare—even in crypto—and helped drive speculative interest across social media and trading forums.

Within just 22 days, Launchcoin’s market cap crossed $300 million, illustrating how quickly meme-based projects can capture market momentum, especially when they ride the wave of a compelling narrative.

🔄 Listings and Market Access

Launchcoin’s liquidity and accessibility have improved significantly. The token is now trading on major centralized exchanges:

  • Spot listings: Bitget, KuCoin, Gate.io, and MEXC
  • Futures: Recently launched on ByBit

These listings have broadened exposure, attracting a wider investor base and allowing leveraged traders to participate. Increased liquidity also reduces slippage, enabling larger capital inflows while minimizing execution risk.

🎭 From PASTERNAK to LAUNCHCOIN: The Rebranding

Initially launched as PASTERNAK, named after Believe’s founder Ben Pasternak, the project was rebranded to Launchcoin on May 2, 2025. The new name better reflects its core value proposition: empowering creators to launch tokens through a SocialFi model.

The model is simple but revolutionary—anyone can create a token by posting on social media with the “@launchcoin” tag. This lowers the barrier for entry into token creation and adds viral potential to every social interaction.

🧨 Risk and Volatility: A Speculative Bet

Despite its recent success, Launchcoin remains a highly speculative asset. Its meteoric rise is reminiscent of meme coin cycles seen with tokens like PEPE or DOGE. While Launchcoin offers a unique utility layer with its token-creation feature, its current valuation includes a significant hype premium.

Token Metrics encourages traders to stay nimble. With the AI trading signals, users can track grade changes in real-time, ensuring they’re not caught off guard by sharp reversals or cooldowns.

🧠 Final Thoughts

Launchcoin represents a blend of viral marketing, social token innovation, and AI-predicted trading opportunity. With strong short-term momentum, neutral long-term positioning, and significant ecosystem buzz, it’s a token to watch—but not without caution.

Whether you’re a trader riding the momentum or an investor assessing long-term viability, Token Metrics provides the data-driven edge to navigate Launchcoin’s volatility with confidence.

Research

Best Long-Term Crypto Picks for the 2025 Bull Market

Token Metrics Team
4 min
MIN

In a market full of noise, value investors are asking one critical question: what should I hold long-term?

Here are some of our top picks, based on fundamentals, traction, and longevity.

1. Grass – AI + Revenue

Grass stands out in the AI space. With over $15M in revenue from its browser extension and data resale model, it’s one of the few protocols generating real-world value. It’s a top AI blue chip we’re confident holding over multiple cycles.

2. Peaq – DePIN Infrastructure

Peaq positions itself as the Chainlink of decentralized physical infrastructure. While still under $1B FDV, it’s been consistent in development and narrative strength.

3. Sui – Consumer-Focused L1

Sui isn’t just another L1. Between Phantom wallet support, SuiPlay hardware, and growing dApp adoption, Sui has the elements to outpace older chains like Solana or Avalanche in user growth.

4. Parcl – Real Estate Derivatives

For exposure to real-world assets, Parcl offers a compelling play. Their UI is retail-friendly, listings are strong, and the market cap remains under $150M. This is one to watch as RWA adoption grows.

5. BitTensor – AI Infrastructure Layer

With a unique emission model and growing subnet usage, BitTensor remains the top AI infra token. Some even compare its long-term potential to early Bitcoin.

Bonus Mentions:

  • Uniswap / Aave / Compound – battle-tested DeFi with upcoming fee-sharing upgrades

  • Chainlink – oracle king still dominating infrastructure

  • Hyperliquid – sustainable revenue, EVM chain, and perps dominance

Final Words

The 2025 bull market will create noise—but also opportunity. These tokens aren’t just trendy—they’re infrastructure plays with real utility and upside. Allocate accordingly.

Research

SUI Price Analysis: Short-Term Momentum Builds Amid Long-Term Uncertainty

Token Metrics Team
4 min
MIN

SUI, a rising Layer 1 blockchain network, has been gaining traction recently—and Token Metrics' AI-powered tools were ahead of the curve in identifying its bullish momentum. On April 24th, the Token Metrics Trader Grade issued a bullish signal for SUI, and since then, the price has climbed nearly 22%, confirming the strength of the short-term trend.

But there’s more to this move than just price action. Token Metrics offers a unique perspective by analyzing both short-term and long-term signals through its proprietary Trader Grade and Investor Grade ratings. These grades offer a layered view of an asset's potential by using machine learning to evaluate over 80 on-chain, off-chain, and technical indicators.

Token Metrics AI: Bullish for Traders, Bearish for Investors

As of the latest data, SUI holds a “Strong Buy” rating on the Token Metrics Trader Grade, signaling powerful momentum for short-term traders. This suggests that swing traders and scalpers could benefit from the current trend, particularly if the price can decisively break through the immediate resistance at $4.25.

However, the Investor Grade tells a different story. While the short-term outlook is bullish, the long-term view remains cautious. The Investor Grade currently recommends a Sell, suggesting SUI may face challenges in sustaining gains over a multi-month time frame. This divergence highlights the importance of aligning your investment strategy with the appropriate time horizon.

TVL Growth Validates SUI’s Ecosystem Expansion

Beyond AI ratings, Token Metrics also factors in fundamental metrics—and one of the strongest tailwinds for SUI right now is its rapidly growing Total Value Locked (TVL). According to DeFi Llama, SUI’s TVL has surged to a new all-time high of $2.11 billion, cementing its position as the 8th largest blockchain by TVL.

This growth in TVL indicates that more capital is being deployed in the SUI ecosystem. It reflects increased user engagement with decentralized applications (dApps) on the network and signals rising confidence among DeFi participants. From a fundamental standpoint, this bodes well for SUI’s long-term utility—even if its price action hasn't yet caught up to the full extent of this growth.

Key Technical Levels: Breakout or Pullback?

From a technical analysis standpoint, SUI is now testing a major resistance at $4.25. A confirmed breakout above this level could send the asset surging toward new all-time highs, potentially igniting a new wave of momentum-driven buying.

However, if the price fails to breach this resistance zone, a pullback is likely. In that scenario, the $3.00 to $3.20 range should act as a solid support area. These levels will be critical for traders to monitor, and Token Metrics' real-time alerts can help users stay on top of such breakouts or reversals.

Trading Smarter with Token Metrics

Whether you're trading short-term breakouts or evaluating long-term positions, Token Metrics helps crypto investors make data-driven decisions. The platform’s dual-grade system—Trader Grade for momentum-based insights and Investor Grade for long-term trends—equips users with nuanced information to act with confidence.

Moreover, Token Metrics integrates this data directly into its AI Trading Agent and custom alerts system, ensuring you never miss an opportunity or warning signal. With instant access to heatmaps, technical breakdowns, and AI-based predictions, SUI traders can manage risk more efficiently and capitalize on emerging trends before the rest of the market catches on.

Final Thoughts

SUI is showing promising signs, especially with its network fundamentals improving rapidly and short-term momentum turning bullish. Still, the cautious long-term outlook suggests that traders should proceed with a balanced approach—watching both breakout levels and support zones, while leveraging tools like Token Metrics for real-time decision-making support.

As always, combining AI-driven insights with strong risk management is the key to navigating volatile markets like crypto. SUI is one to watch—and Token Metrics helps you stay one step ahead.

Announcements

AI Tokens and DeFi 2.0: Where Smart Capital is Flowing

Token Metrics Team
4 min
MIN

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. Let’s break down the trends.

AI Momentum Remains Strong

Projects like Vader AI, BitTensor, and Grass continue to dominate the conversation. Vader AI, part of the Virtua ecosystem, gained momentum from staking programs and Genesis Launchpad allocations. Grass, a data-layer AI protocol, claims $15M+ in revenue and recently flipped bullish on technical indicators.

BitTensor remains the leading infrastructure play in the AI space, drawing parallels to Bitcoin in its community enthusiasm and decentralization ethos. It has rebounded over 150% from its lows and is showing resilience in the current market cycle.

DeFi’s Comeback: Aerodrome and Beyond

Meanwhile, DeFi is showing signs of resurgence. Aerodrome, a DEX on the Base chain, is gaining traction through strong liquidity incentives and revenue-sharing mechanisms. Its user incentives echo the early days of Curve or Uniswap but on a chain optimized for scalability.

Virtua’s staking model is also driving a hybrid DeFi/AI strategy, blurring the lines between token utility, participation, and value capture.

Narrative Rotation: What It Means

Crypto narratives are rarely zero-sum. What we’re seeing now is a healthy diversification: AI remains dominant, but DeFi is catching a second wind. For investors, this means exploring tokens that sit at the intersection—offering strong tech, compelling incentives, and infrastructure integrations.

Closing Thoughts

Whether you’re riding the AI wave or positioning for the DeFi rebound, it’s clear that smart capital is flowing into ecosystems with tangible traction. Watch the flows, track the signals, and always be ready to pivot.

Track the Trends with Token Metrics

Token Metrics is your edge in navigating the ever-shifting landscape of crypto narratives. Our AI-powered research platform helps you spot bullish trends early, evaluate project fundamentals, and make data-driven investment decisions. Whether you're interested in AI tokens, DeFi protocols, or hybrid plays, Token Metrics provides real-time signals, technical grades, and curated indices to guide your next move.

Explore the platform at www.tokenmetrics.com and discover where smart capital is heading next.

Research

How Hyperliquid is Redefining Decentralized Perpetuals in 2025

Token Metrics Team
4 min
MIN

While most exchanges compete on liquidity or UI, Hyperliquid is rewriting the rules entirely.
This decentralized perps exchange has not only survived the bear market—it’s thriving. Backed by real revenue, a growing user base, and a unique listing model, Hyperliquid is emerging as the “Uniswap of Perps.”

The Reverse Auction Listing System

Hyperliquid introduces a novel reverse auction system for listing tokens. Bidders compete for tickers, with starting prices set at 2x the previous auction. Some tickers have fetched over $1 million, with the fees used for buybacks and burns—driving long-term value to the ecosystem.

This model isn’t just a gimmick. It introduces scarcity and gamification into token listings—something no other exchange is doing at this level.

Sustainable Revenue and Strong UX

Unlike many DEXs, Hyperliquid generates consistent trading fees, even in sideways markets. Its EVM-compatible L1 is coming soon, which could further cement it as the go-to perps exchange for serious traders.

Product-Market Fit in Action

In a space where hype often outpaces adoption, Hyperliquid offers both. It's not trying to be first—it's trying to be the best. The community listing process, upcoming L1, and high trading volumes all suggest it’s built for long-term relevance.

Smarter Trading with Token Metrics

To navigate emerging platforms like Hyperliquid, sophisticated analytics are key. Token Metrics provides a powerful suite of tools—AI-driven trading signals, token grades, on-chain data, and market indicators—to help traders make confident, data-backed decisions. Whether you're evaluating new token listings, monitoring market sentiment, or comparing DEX performance, Token Metrics equips you with everything you need to stay ahead of the curve.

Final Take

Hyperliquid is more than just another DEX—it’s a case study in how to build sustainable tokenomics and community alignment. If you’re looking for the next big infrastructure play in trading, don’t sleep on this one. And if you want to trade smarter, platforms like Token Metrics can be your secret weapon in decoding the market's next moves.

Announcements

Is Sui the Next Solana? A Deep Dive into L1 Competitors

Token Metrics Team
4 min
MIN

As the Layer 1 (L1) narrative continues to evolve, one blockchain has rapidly emerged as a serious contender to Solana’s throne: Sui. With growing infrastructure support and a strong focus on user experience, Sui is positioning itself as one of the most compelling L1 platforms in 2025.

Why the Sui Hype?

Sui has been gaining traction due to key integrations across the crypto ecosystem. Phantom wallet, known for its Solana roots, recently announced Sui support—putting Sui directly in the hands of thousands of users. Similarly, Axelar and LI.FI, major players in bridging and routing, have added Sui to their networks.

These integrations are not just symbolic; they’re strategic. By positioning itself as a supported chain across EVM-native infrastructure, Sui becomes more accessible and developer-friendly—critical factors for long-term adoption.

The SuiPlay Effect

Sui is also expanding beyond traditional DeFi and into consumer crypto. SuiPlay, a gaming-focused hardware device launched earlier this year, sold out in days. It marks a shift in L1 differentiation—no longer just about TPS (transactions per second), but about vertical-specific UX.

The gaming angle aligns with Sui’s broader push toward being the “consumer chain,” capturing not only dApp developers but also everyday users seeking smoother, gamified blockchain experiences.

Performance and Market Sentiment

Price action also favors Sui. While Solana bounced impressively from its post-FTX lows, Sui is now showing similar potential—with infrastructure support, developer traction, and consumer-facing products driving upward momentum.

The market seems to agree. Multiple indicators suggest Sui could outperform both Solana and Ethereum in the upcoming cycle. Its lower starting valuation also offers more upside, especially for value investors looking for the “next Solana.”

Final Thoughts

While it’s too early to crown Sui the definitive winner, all signs point to a strong L1 contender. Between integrations, product expansion, and market sentiment, Sui is carving a path worth watching—and potentially investing in.

Track Sui’s Momentum with Token Metrics

At Token Metrics, our AI-powered analytics tools help you track emerging L1 narratives like Sui in real time. From grade-based investment ratings and on-chain indicators to AI-generated bullish/bearish signals and technical scorecards, Token Metrics gives you the data you need to make smarter decisions. Explore Sui’s performance, compare it to other L1s, and stay ahead of the next market rotation—all in one dashboard.

Announcements

Launch Coin and the Rise of Internet Capital Markets

Token Metrics Team
3 min
MIN

In crypto, narratives evolve quickly—and in May 2025, a new one has captured the spotlight: Internet Capital Markets (ICM). At the center of this trend is a project called Launchcoin, which has surged over 20x in just days. But what is Launchcoin, and is this a sustainable movement or just another speculative wave?

What is Launchcoin?

Launchcoin is a protocol that lets users tokenize ideas directly from social platforms like X (formerly Twitter). Simply replying to a post with “@launchcoin + [your coin name]” can trigger the launch of a new token. The concept taps into the virality of meme coins but attempts to systematize it—making anyone with an idea a potential coin founder.

The recent buzz around Launchcoin follows a model that resembles earlier social-token projects like Clankerbot, but this one adds frictionless UX and a mobile-first approach. Some are already calling it “the TikTok of token launches.”

Is This Sustainable?

The token’s valuation surged from $0.01 to $0.24, with an FDV nearing $240M. Despite the meteoric rise, it’s worth noting that most of the current activity is speculative. At this stage, we view Launchcoin more as a trade than a long-term investment.

There are warning signs too: limited website traffic, sparse social engagement beyond one viral post, and no clear roadmap. While it’s grabbing headlines, it’s unclear how sticky this platform will be without deeper utility.

The Bigger Picture: Internet Capital Markets

Launchcoin is just the first ripple in a broader trend. ICM refers to the blending of social influence, capital formation, and blockchain—making it possible for ideas to become tradable assets in minutes. It reflects a growing appetite for spontaneous, viral, and community-led funding mechanisms.

While this space is still in its infancy, it hints at a future where capital formation isn't reserved for VCs and big-name founders but is democratized across the internet.

Final Thoughts

Launchcoin is exciting—but also risky. As with many meme-era projects, early gains may be followed by sharp corrections. Still, the rise of ICM is a signal worth watching. If future protocols can combine virality with compliance and utility, we could be witnessing the next evolution in how projects are launched—and who gets to launch them.

How Token Metrics Help You Track Emerging Narratives Like ICM

As crypto narratives evolve rapidly, tools like Token Metrics help investors stay ahead of the curve. Our platform uses AI-driven data, technical signals, and project ratings to detect early momentum in tokens like Launchcoin. With features like Bullish/Bearish Signals, Trader and Investor Grades, and curated narrative-based indices, Token Metrics enable users to evaluate trends like Internet Capital Markets with speed and precision. Whether you’re trading the hype or tracking long-term shifts, Token Metrics give you the insights needed to navigate the noise.

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