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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

Practical Guide to Claude API Integration

Token Metrics Team
4
MIN

The Claude API is increasingly used to build context-aware AI assistants, document summarizers, and conversational workflows. This guide breaks down what the API offers, integration patterns, capability trade-offs, and practical safeguards to consider when embedding Claude models into production systems.

Overview: What the Claude API Provides

The Claude API exposes access to Anthropic’s Claude family of large language models. At a high level, it lets developers send prompts and structured instructions and receive text outputs, completions, or assistant-style responses. Key delivery modes typically include synchronous completions, streaming tokens for low-latency interfaces, and tools for handling multi-turn context. Understanding input/output semantics and token accounting is essential before integrating Claude into downstream applications.

Capabilities & Feature Surface

Claude models are designed for safety-focused conversational AI and often emphasize instruction following and helpfulness while applying content filters. Typical features to assess:

  • Instruction clarity: Claude responds robustly to explicit, structured instructions and system-level guidelines embedded in prompts.
  • Context handling: Larger context windows enable multi-turn memory and long-document summarization; analyze limits for your use case.
  • Streaming vs batch: Streaming reduces perceived latency in chat apps. Batch completions suit offline generation and analytics tasks.
  • Safety layers: Built-in moderation and safety heuristics can reduce harmful outputs but should not replace application-level checks.

Integration Patterns & Best Practices

Designing a robust integration with the Claude API means balancing performance, cost, and safety. Practical guidance:

  1. Prompt engineering: Build modular prompts: system instructions, user content, and optional retrieval results. Keep system prompts explicit and version-controlled.
  2. Context management: Implement truncation or document retrieval to stay within context limits. Use semantic search to surface the most relevant chunks before calling Claude.
  3. Latency strategies: Use streaming for interactive UI and batch for background processing. Cache frequent completions when possible to reduce API calls.
  4. Safety & validation: Post-process outputs with rule-based checks, content filters, or secondary moderation models to catch hallucinations or policy violations.
  5. Monitoring: Track token usage, latency percentiles, and error rates. Instrument prompts to correlate model changes with downstream metrics.

Primary Use Cases and Risk Considerations

Claude API use cases span chat assistants, summarization, prompt-driven code generation, and domain-specific Q&A. For each area evaluate these risk vectors:

  • Hallucination risk: Models may fabricate facts; rely on provenance and retrieval augmentation when answers require accuracy.
  • Privacy: Avoid sending sensitive personal data unless contract and data processing terms explicitly permit it.
  • Regulatory exposure: For regulated domains (health, legal, finance) include human oversight and compliance review rather than treating outputs as authoritative.
  • Operational cost: Longer contexts and high throughput increase token costs; profile realistic workloads before scaling.

Tools, Libraries, and Ecosystem Fit

Tooling around Claude often mirrors other LLM APIs: HTTP/SDK clients, streaming libraries, and orchestration frameworks. Combine the Claude API with retrieval-augmented generation (RAG) systems, vector stores for semantic search, and lightweight caching layers. AI-driven research platforms such as Token Metrics can complement model outputs by providing analytics and signal overlays when integrating market or on-chain data into prompts.

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 Claude API?

The Claude API is an interface for sending prompts and receiving text-based model outputs from the Claude family. It supports completions, streaming responses, and multi-turn conversations, depending on the provider’s endpoints.

FAQ — How do I manage long documents and context?

Implement a retrieval-augmented generation (RAG) approach: index documents into a vector store, use semantic search to fetch relevant segments, and summarize or stitch results before sending a concise prompt to Claude. Also consider chunking and progressive summarization when documents exceed context limits.

FAQ — How can I control API costs?

Optimize prompts to be concise, cache common responses, batch non-interactive requests, and choose lower-capacity model variants for non-critical tasks. Monitor token usage and set alerts for unexpected spikes.

FAQ — What safety measures are recommended?

Combine Claude’s built-in safety mechanisms with application-level filters, content validation, and human review workflows. Avoid sending regulated or sensitive data without proper agreements and minimize reliance on unverified outputs.

FAQ — When should I use streaming vs batch responses?

Use streaming for interactive chat interfaces where perceived latency matters. Batch completions are suitable for offline processing, analytics, and situations where full output is required before downstream steps.

Disclaimer

This article is for educational purposes only and does not constitute professional, legal, or financial advice. It explains technical capabilities and integration considerations for the Claude API without endorsing specific implementations. Review service terms, privacy policies, and applicable regulations before deploying AI systems in production.

Research

API Keys Explained: Secure Access for Developers

Token Metrics Team
5
MIN

Every modern integration — from a simple weather widget to a crypto analytics agent — relies on API credentials to authenticate requests. An api key is one of the simplest and most widely used credentials, but simplicity invites misuse. This article explains what an api key is, how it functions, practical security patterns, and how developers can manage keys safely in production.

What an API Key Is and How It Works

An api key is a short token issued by a service to identify and authenticate an application or user making an HTTP request. Unlike full user credentials, api keys are typically static strings passed as headers, query parameters, or request bodies. On the server side, the receiving API validates the key against its database, checks permissions and rate limits, and then either serves the request or rejects it.

Technically, api keys are a form of bearer token: possession of the key is sufficient to access associated resources. Because they do not necessarily carry user-level context or scopes by default, many providers layer additional access-control mechanisms (scopes, IP allowlists, or linked user tokens) to reduce risk.

Common API Key Use Cases and Limitations

API keys are popular because they are easy to generate and integrate: you create a key in a dashboard and paste it into your application. Typical use cases include server-to-server integrations, analytics pulls, and third-party widgets. In crypto and AI applications, keys often control access to market data, trading endpoints, or model inference APIs.

Limitations: api keys alone lack strong cryptographic proof of origin (compared with signed requests), are vulnerable if embedded in client-side code, and can be compromised if not rotated. For higher-security scenarios, consider combining keys with stronger authentication approaches like OAuth 2.0, mutual TLS, or request signing.

Practical Security Best Practices for API Keys

Secure handling of api keys reduces the chance of leak and abuse. Key best practices include:

  • Least privilege: Create keys with the minimum permissions required. Use separate keys for read-only and write actions.
  • Rotate regularly: Implement scheduled rotation and automated replacement to limit exposure from undetected leaks.
  • Use environment variables and secrets managers: Never commit keys to source control. Use environment variables, vaults, or cloud KMS services to store secrets.
  • Restrict usage: Apply IP allowlists, referrer checks, or VPC restrictions where supported to limit where the key can be used.
  • Audit and monitor: Log usage, set alerts for anomalous patterns, and review dashboards for spikes or unexpected endpoints.
  • Expire and revoke: Use short-lived keys where possible; immediately revoke compromised keys and revoke unused ones.

These patterns are practical to implement: for example, many platforms offer scoped keys and rotation APIs so you can automate revocation and issuance without manual intervention.

Managing API Keys in Crypto and AI Workflows

Crypto data feeds, trading APIs, and model inference endpoints commonly require api keys. In these contexts, the attack surface often includes automated agents, cloud functions, and browser-based dashboards. Treat any key embedded in an agent as potentially discoverable and design controls accordingly.

Operational tips for crypto and AI projects:

  • Use separate keys per service and environment (dev, staging, production).
  • Scale permission granularity: allow market-data reads without trading execution permissions.
  • Encrypt keys at rest and limit human access to production secrets.
  • Integrate rate-limit and quota checks to avoid service disruption and to detect misuse quickly.

Platforms such as Token Metrics provide APIs tailored to crypto research and can be configured with scoped keys for safe consumption in analytics pipelines and AI agents.

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 an API Key?

An api key is a token that applications send with requests to identify and authenticate themselves to a service. It is often used for simple authentication, usage tracking, and applying access controls such as rate limits.

FAQ: How should I store api keys?

Store api keys outside of code: use environment variables, container secrets, or a managed secrets store. Ensure access to those stores is role-restricted and audited. Never commit keys to public repositories or client-side bundles.

FAQ: What's the difference between an api key and an OAuth token?

API keys are static identifiers primarily for application-level authentication. OAuth tokens represent delegated user authorization and often include scopes and expiration. OAuth is generally more suitable for user-centric access control, while api keys are common for machine-to-machine interactions.

FAQ: How often should I rotate api keys?

Rotation frequency depends on risk tolerance and exposure: a common pattern is scheduled rotation every 30–90 days, with immediate rotation upon suspected compromise. Automate the rotation process to avoid service interruptions.

FAQ: What are signs an api key is compromised?

Watch for abnormal usage patterns: sudden spikes in requests, calls from unexpected IPs or geographic regions, attempts to access endpoints outside expected scopes, or errors tied to rate-limit triggers. Configure alerts for such anomalies.

FAQ: Can I restrict an api key to a single IP or domain?

Many providers allow IP allowlisting or referrer restrictions. This reduces the attack surface by ensuring keys only work from known servers or client domains. Use this in combination with short lifetimes and least-privilege scopes.

FAQ: How do api keys fit into automated AI agents?

AI agents that call external services should use securely stored keys injected at runtime. Limit their permissions to only what the agent requires, rotate keys regularly, and monitor agent activity to detect unexpected behavior.

Disclaimer

This article is educational and informational in nature. It is not investment, legal, or security advice. Evaluate any security approach against your project requirements and consult qualified professionals for sensitive implementations.

Research

Mastering Google Maps API: A Practical Developer Guide

Token Metrics Team
5
MIN

Location data powers modern products: discovery, logistics, analytics, and personalized experiences all lean on accurate mapping services. The Google Maps API suite is one of the most feature-rich options for embedding maps, geocoding addresses, routing vehicles, and enriching UX with Places and Street View. This guide breaks the platform down into practical sections—what each API does, how to get started securely, design patterns to control costs and latency, and where AI can add value.

Overview: What the Google Maps API Suite Provides

The Maps Platform is modular: you enable only the APIs and SDKs your project requires. Key components include:

  • Maps JavaScript API — interactive web maps, custom markers, overlays, styling, and event hooks for client-side experiences.
  • Maps SDKs for Android & iOS — native map views, offline handling patterns, and performance controls on mobile devices.
  • Places API — POI lookup, autocomplete, place details, and user-generated content such as reviews and photos.
  • Geocoding & Reverse Geocoding — translate addresses to coordinates and back; useful for onboarding, search, and analytics.
  • Directions & Distance Matrix — routing, multi-stop optimization, travel time estimates, and matrix computations for fleet logistics.
  • Street View & Static Maps — embed photographic context or low-overhead map images for thumbnails and emails.

Each API exposes different latency, quota, and billing characteristics. Plan around the functional needs (display vs. heavy batch geocoding vs. real-time routing).

Getting Started: Keys, Enabling APIs, and Security

Begin in the Google Cloud Console: create or select a project, enable the specific Maps Platform APIs your app requires, and generate an API key. Key operational steps:

  • Restrict keys by HTTP referrer (web), package name + SHA-1 (Android), or bundle ID (iOS) to limit abuse.
  • Use separate keys for development, staging, and production to isolate usage and credentials.
  • Prefer server-side calls for sensitive operations (batch geocoding, billing-heavy tasks) where you can protect API secrets and implement caching.
  • Monitor quotas and set alerts in Cloud Monitoring to detect anomalies quickly.

Authentication and identity management are foundational—wider access means higher risk of unexpected charges and data leakage.

Design Patterns & Best Practices

Successful integrations optimize performance, cost, and reliability. Consider these patterns:

  • Client vs. Server responsibilities: Use client-side map rendering for interactivity, but delegate heavy or billable tasks (bulk geocoding, route computations) to server-side processes.
  • Cache geocoding results where addresses are stable. This reduces repeat requests and lowers bills.
  • Use Static Maps for thumbnails instead of full interactive maps when you need small images in lists or emails.
  • Handle rate limits gracefully by implementing exponential backoff and queuing to avoid throttling spikes.
  • Map styling & lazy loading keep initial payloads light; load map tiles or libraries on user interaction to improve perceived performance.
  • Privacy-first design: minimize retention of precise location data unless required, and document retention policies for compliance.

Pricing, Quotas & Cost Management

The Maps Platform uses a pay-as-you-go model with billing tied to API calls, SDK sessions, or map loads depending on the product. To control costs:

  • Audit which APIs are enabled and remove unused ones.
  • Implement caching layers for geocoding and place lookups.
  • Prefer batch jobs outside peak hours and consolidate requests server-side when possible.
  • Set programmatic alerts for unexpected usage spikes and daily budget caps to avoid surprises.

Budgeting requires monitoring real usage patterns and aligning product behavior (e.g., map refresh frequency) with cost objectives.

Use Cases & AI Integration

Combining location APIs with machine learning unlocks advanced features: predictive ETA models, demand heatmaps, intelligent geofencing, and dynamic routing that accounts for historic traffic patterns. AI models can also enrich POI categorization from Places API results or prioritize search results based on user intent.

For teams focused on research and signals, AI-driven analytical tools can help surface patterns from large location datasets, cluster user behavior, and integrate external data feeds for richer context. Tools built for crypto and on-chain analytics illustrate how API-driven datasets can be paired with models to create actionable insights in other domains—similarly, map and location data benefit from model-driven enrichment that remains explainable and auditable.

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

Is the Google Maps API free to use?

Google offers a free usage tier and a recurring monthly credit for Maps Platform customers. Beyond the free allocation, usage is billed based on API calls, map loads, or SDK sessions. Monitor your project billing and set alerts to avoid unexpected charges.

Which Maps API should I use for address autocomplete?

The Places API provides address and place autocomplete features tailored for UX-focused address entry. For server-side address validation or bulk geocoding, pair it with Geocoding APIs and implement server-side caching.

How do I secure my API key?

Apply application restrictions (HTTP referrers for web, package name & SHA-1 for Android, bundle ID for iOS) and limit the key to only the required APIs. Rotate keys periodically and keep production keys out of client-side source control when possible.

Can I use Google Maps API for heavy routing and fleet optimization?

Yes—the Directions and Distance Matrix APIs support routing and travel-time estimates. For large-scale fleet optimization, consider server-side batching, rate-limit handling, and hybrid solutions that combine routing APIs with custom optimization logic to manage complexity and cost.

What are common pitfalls when integrating maps?

Common issues include unbounded API keys, lack of caching for geocoding, excessive map refreshes that drive costs, and neglecting offline/mobile behavior. Planning for quotas, testing under realistic loads, and instrumenting telemetry mitigates these pitfalls.

Disclaimer

This article is for educational and technical information only. It does not constitute financial, legal, or professional advice. Evaluate features, quotas, and pricing on official Google documentation and consult appropriate professionals for specific decisions.

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Research

Crypto API to Google Sheets in 5 Minutes: How to Use Token Metrics API with Apps Script

Token Metrics Team
6 min
MIN

If you're a trader, data analyst, or crypto enthusiast, chances are you've wanted to pull live crypto data directly into Google Sheets. Whether you're tracking prices, building custom dashboards, or backtesting strategies, having real-time data at your fingertips can give you an edge.

In this guide, we'll show you how to integrate the Token Metrics API — a powerful crypto API with free access to AI-powered signals — directly into Google Sheets in under 5 minutes using Google Apps Script.

📌 Why Use Google Sheets for Crypto Data?

Google Sheets is a flexible, cloud-based spreadsheet that:

  • Requires no coding to visualize data
  • Can be shared and updated in real time
  • Offers formulas, charts, and conditional formatting
  • Supports live API connections with Apps Script

When combined with the Token Metrics API, it becomes a powerful dashboard that updates live with Trader Grades, Bull/Bear Signals, historical OHLCV data, and more.

🚀 What Is Token Metrics API?

The Token Metrics API provides real-time and historical crypto data powered by AI. It includes:

  • Trader Grade: A score from 0 to 100 showing bullish/bearish potential
  • Bull/Bear Signal: A binary signal showing market direction
  • OHLCV: Open-High-Low-Close-Volume price history
  • Token Metadata: Symbol, name, category, market cap, and more

The best part? The free Basic Plan includes:

  • 5,000 API calls/month
  • Access to core endpoints
  • Hourly data refresh
  • No credit card required

👉 Sign up for free here

🛠️ What You’ll Need

  • A free Token Metrics API key
  • A Google account
  • Basic familiarity with Google Sheets

⚙️ How to Connect Token Metrics API to Google Sheets

Here’s how to get live AI-powered crypto data into Sheets using Google Apps Script.

🔑 Step 1: Generate Your API Key

  1. Visit: https://app.tokenmetrics.com/en/api
  2. Click “Generate API Key”
  3. Copy it — you’ll use this in the script

📄 Step 2: Create a New Google Sheet

  1. Go to Google Sheets
  2. Create a new spreadsheet
  3. Click Extensions > Apps Script

💻 Step 3: Paste This Apps Script

const TOKEN_METRICS_API_KEY = 'YOUR_API_KEY_HERE';

async function getTraderGrade(symbol) {

  const url = `https://api.tokenmetrics.com/v2/trader-grades?symbol=${symbol.toUpperCase()}`;

  const options = {

    method: 'GET',

    contentType: 'application/json',

    headers: {

      'accept': 'application/json',

      'x-api-key': TOKEN_METRICS_API_KEY,

    },

    muteHttpExceptions: true

  };

  

  const response = UrlFetchApp.fetch(url, options);

  const data = JSON.parse(response.getContentText() || "{}")

  

  if (data.success && data.data.length) {

    const coin = data.data[0];

    return [

      coin.TOKEN_NAME,

      coin.TOKEN_SYMBOL,

      coin.TA_GRADE,

      coin.DATE

    ];

  } else {

    return ['No data', '-', '-', '-'];

  }

}

async function getSheetData() {

  const sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();

  const symbols = sheet.getRange('A2:A').getValues().flat().filter(Boolean);

  const results = [];

  results.push(['Name', 'Symbol', 'Trader Grade', 'Date']);

  for (const symbol of symbols) {

    if (symbol) {

      const row = await getTraderGrade(symbol);

      results.push(row);

    }

  }

  sheet.getRange(2, 2, results.length, results[0].length).setValues(results);

}

🧪 Step 4: Run the Script

  1. Replace 'YOUR_API_KEY_HERE' with your real API key.
  2. Save the project as TokenMetricsCryptoAPI.
  3. In your sheet, enter a list of symbols (e.g., BTC, ETH, SOL) in Column A.
  4. Go to the script editor and run getSheetData() from the dropdown menu.

Note: The first time, Google will ask for permission to access the script.

✅ Step 5: View Your Live Data

After the script runs, you’ll see:

  • Coin name and symbol
  • Trader Grade (0–100)
  • Timestamp

You can now:

  • Sort by Trader Grade
  • Add charts and pivot tables
  • Schedule automatic updates with triggers (e.g., every hour)

🧠 Why Token Metrics API Is Ideal for Google Sheets Users

Unlike basic price APIs, Token Metrics offers AI-driven metrics that help you:

  • Anticipate price action before it happens
  • Build signal-based dashboards or alerts
  • Validate strategies against historical signals
  • Keep your data fresh with hourly updates

And all of this starts for free.

🏗️ Next Steps: Expand Your Sheet

Here’s what else you can build:

  • A portfolio tracker that pulls your top coins’ grades
  • A sentiment dashboard using historical OHLCV
  • A custom screener that filters coins by Trader Grade > 80
  • A Telegram alert system triggered by Sheets + Apps Script + Webhooks

You can also upgrade to the Advanced Plan to unlock 21 endpoints including:

  • Investor Grades
  • Smart Indices
  • Sentiment Metrics
  • Quantitative AI reports
  • 60x API speed

🔐 Security Tip

Never share your API key in a public Google Sheet. Use script-level access and keep the sheet private unless required.

🧩 How-To Schema Markup (for SEO)

{

  "@context": "https://schema.org",

  "@type": "HowTo",

  "name": "Crypto API to Google Sheets in 5 Minutes",

  "description": "Learn how to connect the Token Metrics crypto API to Google Sheets using Google Apps Script and get real-time AI-powered signals and prices.",

  "totalTime": "PT5M",

  "supply": [

    {

      "@type": "HowToSupply",

      "name": "Google Sheets"

    },

    {

      "@type": "HowToSupply",

      "name": "Token Metrics API Key"

    }

  ],

  "tool": [

    {

      "@type": "HowToTool",

      "name": "Google Apps Script"

    }

  ],

  "step": [

    {

      "@type": "HowToStep",

      "name": "Get Your API Key",

      "text": "Sign up at Token Metrics and generate your API key from the API dashboard."

    },

    {

      "@type": "HowToStep",

      "name": "Create a New Google Sheet",

      "text": "Open a new sheet and list crypto symbols in column A."

    },

    {

      "@type": "HowToStep",

      "name": "Add Apps Script",

      "text": "Go to Extensions > Apps Script and paste the provided code, replacing your API key."

    },

    {

      "@type": "HowToStep",

      "name": "Run the Script",

      "text": "Execute the getSheetData function to pull data into the sheet."

    }

  ]

}

✍️ Final Thoughts

If you're serious about crypto trading or app development, integrating live market signals into your workflow can be a game-changer. With the Token Metrics API, you can get institutional-grade AI signals — right inside Google Sheets.

This setup is simple, fast, and completely free to start. Try it today and unlock a smarter way to trade and build in crypto.

👉 Get Your API Key & Start for Free

Announcements

🚀Put Your $TMAI to Work: Daily Rewards, No Locks, Up To 200% APR.

Token Metrics Team
5 min
MIN

Liquidity farming just got a major upgrade. Token Metrics AI ($TMAI) has launched its first liquidity incentive campaign on Merk — and it’s designed for yield hunters looking to earn fast, with no lockups, no gimmicks, and real rewards from Day 1.

📅 Campaign Details

  • Duration: June 5 – June 19, 2025
  • Rewards Begin: 17:00 UTC / 1:00 PM ET
  • Total TMAI Committed: 38 million+ $TMAI
  • No Lockups: Enter or exit at any time
  • APR Potential: Up to 200%

For two weeks, liquidity providers can earn high daily rewards across three different pools. All rewards are paid in $TMAI and distributed continuously — block by block — through the Merkl platform.

💧 Where to Earn – The Pools (as of June 5, 17:00 UTC)

Pool                                                    Starting APR %               Total Rewards (14 days)                Current TVL

Aerodrome WETH–TMAI        150%                                16.79M TMAI (~$11,000)                   $86,400

Uniswap v3 USDC–TMAI        200%                                14.92M TMAI (~$9,800)                    $19,900

Balancer 95/5 WETH–TMAI    200%                                5.60M TMAI (~$3,700)                       $9,500

These pools are live and actively paying rewards. APR rates aren’t displayed on Merkl until the first 24 hours of data are available — but early providers will already be earning.

🧠 Why This Campaign Stands Out

1. Turbo Rewards for a Short Time

This isn’t a slow-drip farm. The TMAI Merkl campaign is designed to reward action-takers. For the first few days, yields are especially high — thanks to low TVL and full daily reward distribution.

2. No Lockups or Waiting Periods

You can provide liquidity and withdraw it anytime — even the same day. There are no lockups, no vesting, and no delayed payout mechanics. All rewards accrue automatically and are claimable through Merkl.

3. Choose Your Risk Profile

You get to pick your exposure.

  • Want ETH upside? Stake in Aerodrome or Balancer.
  • Prefer stablecoin stability? Go with the Uniswap v3 USDC–TMAI pool.

4. Influence the Future of TMAI Yield Farming

This campaign isn’t just about yield — it’s a test. If enough users participate and volume grows, the Token Metrics Treasury will consider extending liquidity rewards into Q3 and beyond. That means more TMAI emissions, longer timelines, and consistent passive income opportunities for LPs.

5. Built for Transparency and Speed

Rewards are distributed via Merkl by Angle Labs, a transparent, gas-efficient platform for programmable liquidity mining. You can see the exact rewards, TVL, wallet counts, and pool analytics at any time.

🔧 How to Get Started

Getting started is simple. You only need a crypto wallet, some $TMAI, and a matching asset (either WETH or USDC, depending on the pool).

Step-by-step:

  1. Pick a pool:
    Choose from Aerodrome, Uniswap v3, or Balancer depending on your risk appetite and asset preference.

  2. Provide liquidity:
    Head to the Merkl link for your pool, deposit both assets, and your position is live immediately.

  3. Track your earnings:
    Watch TMAI accumulate daily in your Merkl dashboard. You can claim rewards at any time.

  4. Withdraw when you want:
    Since there are no lockups, you can remove your liquidity whenever you choose — rewards stop the moment liquidity is pulled.

🎯 Final Thoughts

This is a rare opportunity to earn serious rewards in a short amount of time. Whether you’re new to liquidity mining or a DeFi veteran, the TMAI Merkl campaign is built for speed, flexibility, and transparency.

You’re still early. The best yields happen in the first days, before TVL rises and APR stabilizes. Dive in now and maximize your returns while the turbo phase is still on.

👉 Join the Pools and Start Earning

Announcements

Token Metrics API Joins RapidAPI: The Fastest Way to Add AI-Grade Crypto Data to Your App

Token Metrics Team
5 min
MIN

The hunt for a dependable Crypto API normally ends in a graveyard of half-maintained GitHub repos, flaky RPC endpoints, and expensive enterprise feeds that hide the true cost behind a sales call. Developers waste days wiring those sources together, only to learn that one fails during a market spike or that data schemas never quite align. The result? Bots mis-fire, dashboards drift out of sync, and growth stalls while engineers chase yet another “price feed.”

That headache stops today. Token Metrics API, the same engine that powers more than 70 000 users on the Token Metrics analytics platform, is now live on RapidAPI—the largest marketplace of public APIs with more than four million developers. One search, one click, and you get an AI-grade Crypto API with institutional reliability and a 99.99 % uptime SLA.

Why RapidAPI + Token Metrics API Matters

  • Native developer workflow – No separate billing portal, OAuth flow, or SDK hunt. Click “Subscribe,” pick the Free plan, and RapidAPI instantly generates a key.

  • Single playground – Run test calls in-browser and copy snippets in cURL, Python, Node, Go, or Rust without leaving the listing.

  • Auto-scale billing – When usage grows, RapidAPI handles metering and invoices. You focus on product, not procurement.

What Makes the Token Metrics Crypto API Different?

  1. Twenty-one production endpoints

    Live & historical prices, hourly and daily OHLCV, proprietary Trader & Investor Grades, on-chain and social sentiment, AI-curated sector indices, plus deep-dive AI reports that summarise fundamentals, code health, and tokenomics.

  2. AI signals that win

    Over the last 24 months, more than 70 % of our bull/bear signals outperformed simple buy-and-hold. The API delivers that same alpha in flat JSON.

  3. Institutional reliability

    99.99 % uptime, public status page, and automatic caching for hot endpoints keep latency low even on volatile days.

Three-Step Quick Start

  1. Search “Token Metrics API” on RapidAPI and click Subscribe.
  2. Select the Free plan (5 000 calls / month, 20 request / min) and copy your key.
  3. Test:

bash

CopyEdit

curl -H "X-RapidAPI-Key: YOUR_KEY" \

     -H "X-RapidAPI-Host: tokenmetrics.p.rapidapi.com" \

     https://tokenmetrics.p.rapidapi.com/v2/trader-grades?symbol=BTC

The response returns Bitcoin’s live Trader Grade (0-100) and bull/bear flag. Swap BTC for any asset or explore /indices, /sentiment, and /ai-reports.

Real-World Use Cases

Use case

How developers apply the Token Metrics API

Automated trading bots

Rotate allocations when Trader Grade > 85 or sentiment flips bear.

Portfolio dashboards

Pull index weights, grades, and live prices in a single call for instant UI load.

Research terminals

Inject AI Reports into Notion/Airtable for analyst workflows.

No-code apps

Combine Zapier webhooks with RapidAPI to display live sentiment without code.

Early adopters report 30 % faster build times because they no longer reconcile five data feeds.

Pricing That Scales

  • Free – 5 000 calls, 30-day history.
  • Advanced – 20 000 calls, 3-month history.
  • Premium – 100 000 calls, 3-year history.
  • VIP – 500 000 calls, unlimited history.

Overages start at $0.005 per call.

Ready to Build?

• RapidAPI listing: https://rapidapi.com/tm-ai/api/token-metrics 

https://rapidapi.com/token-metrics-token-metrics-default/api/token-metrics-api1
• Developer docs: https://developers.tokenmetrics.com
• Support Slack: https://join.slack.com/t/tokenmetrics-devs/shared_invite/…

Spin up your key, ship your bot, and let us know what you create—top projects earn API credits and a Twitter shout-out.

Announcements

Crypto MCP Server: Token Metrics Brings One-Key Data to OpenAI, Claude, Cursor & Windsurf

Token Metrics Team
5 min
MIN

The modern crypto stack is a jungle of AI agents: IDE copilots that finish code, desktop assistants that summarise white-papers, CLI tools that back-test strategies, and slide generators that turn metrics into pitch decks. Each tool speaks a different protocol, so developers juggle multiple keys and mismatched JSON every time they query a Crypto API. That fragmentation slows innovation and creates silent data drift.

To fix it, we built the Token Metrics Crypto MCP Server—a lightweight gateway that unifies every tool around a single Multi-Client Crypto API. MCP (Multi-Client Protocol) sits in front of the Token Metrics API and translates requests into one canonical schema. Paste your key once, and a growing suite of clients speaks the same crypto language:

  • OpenAI Agents SDK – build ChatGPT-style agents with live grades
  • Claude Desktop – natural-language research powered by real-time metrics
  • Cursor / Windsurf IDE – in-editor instant queries
  • Raycast, Tome, VS Code, Cline and more

Why a Crypto MCP Server Beats Separate APIs

Consistency – Claude’s grade equals Windsurf’s grade.
One-time auth – store one key; clients handle headers automatically.
Faster prototyping – build in Cursor, test in Windsurf, present in Tome without rewriting queries.
Lower cost – shared quota plus $TMAI discount across all tools.

Getting Started

  1. Sign up for the Free plan (5 000 calls/month) and get your key: https://app.tokenmetrics.com/en/api
  2. Click the client you want to setup mcp for: smithery.ai/server/@token-metrics/mcp or https://modelcontextprotocol.io/clients

Your LLM assistant, IDE, CLI, and slide deck now share a single, reliable crypto brain. Copy your key, point to MCP, and start building the next generation of autonomous finance.

How Teams Use the Multi-Client Crypto API

  • Research to Execution – Analysts ask Claude for “Top 5 DeFi tokens with improving Trader Grades.” Cursor fetches code snippets; Windsurf trades the shortlist—all on identical data.
  • DevRel Demos – Share a single GitHub repo with instructions for Cursor, VS Code, and CLI; workshop attendees choose their favorite environment and still hit the same endpoints.
  • Compliance Dashboards – Tome auto-refreshes index allocations every morning, ensuring slide decks stay current without manual updates

Pricing, Rate Limits, and $TMAI

The Crypto MCP Server follows the core Token Metrics API plans: Free, Advanced, Premium, and VIP up to 500 000 calls/month and 600 req/min. Paying or staking $TMAI applies the familiar 10 % pay-in bonus plus up to 25 % staking rebate—35 % total savings. No new SKU, no hidden fee.

Build Once, Query Everywhere

The Token Metrics Crypto MCP Server turns seven scattered tools into one cohesive development environment. Your LLM assistant, IDE, CLI, and slideshow app now read from the same real-time ledger. Copy your key, point to MCP, and start building the next generation of autonomous finance.

• Github repo: https://github.com/token-metrics/mcp

👉 Ready to build? Grab your key from https://app.tokenmetrics.com/en/api

👉 Join Token Metrics API Telegram group  

Step-by-step client guides at smithery.ai/server/@token-metrics/mcp or https://modelcontextprotocol.io/clients — everything you need to wire Token Metrics MCP into Open AI, Claude, Cursor, Windsurf and more.

Research

Unlock Smarter Trades: Explore the All-New Token Metrics Market Page for Crypto Signal Discovery

Token Metrics Team
4 min
MIN

In the fast-paced world of crypto trading, timing is everything. One small delay can mean missing out on a breakout — or getting caught in a dump. That’s why we’ve completely redesigned the Token Metrics Market Page for 2025, bringing users faster access to the most accurate crypto trading signals powered by AI, on-chain analysis, and proprietary data science models.

This isn’t just a design refresh. It’s a full rethinking of how traders interact with data — with one goal in mind: make smarter trades faster.

Why Interface Matters in 2025’s Data-Driven Crypto Market

Crypto has matured. In 2025, the market is no longer driven by just hype or tweets. The best traders are using quantitative tools, AI signals, and real-time on-chain intelligence to stay ahead. And the Token Metrics Market Page is now built to meet that standard.

Gone are the days of switching between ten different platforms to get a complete view of a token. With the new Market Page, everything you need to make a data-backed trading decision is at your fingertips — no noise, no fluff, just high-signal information.

What’s New: Market Page Features That Give You an Edge

🔥 High-Performing Signals Front and Center

At the top of the redesigned Market Page, we’ve surfaced the week’s most compelling bullish and bearish crypto signals. These aren’t just based on price action — they’re curated using a powerful blend of AI, technical analysis, momentum trends, and on-chain activity.

Take Launch Coin week. It’s been topping the bullish charts due to a sharp uptick in volume and social traction — even though the price has begun to stabilize. Our platform caught the early signal, helping users ride the wave before it showed up on mainstream crypto news feeds.

Every token featured here has passed through our proprietary signal engine, which incorporates:

  • Token Metrics Trader Grade (short-term technical outlook)
  • Investor Grade (longer-term fundamentals)
  • Volume & Liquidity metrics
  • Community sentiment and social velocity
  • Exchange and VC backing

The result? You don’t just know what’s pumping — you know why it’s moving, and whether it’s likely to hold.

🧠 Smarter Filtering and Custom Dashboards

Want to isolate tokens in the DeFi space? Looking for only high-grade bullish signals on Ethereum or Solana? With new filtering options by sector, signal strength, and chain, you can zero in on the exact types of trades you're looking for — whether you're a casual trader or running a portfolio strategy.

This personalized dashboard experience brings hedge-fund-grade analytics to your fingertips, democratizing access to sophisticated data tools for retail and pro traders alike.

📉 Data Visuals at a Glance

Every token card on the Market Page now comes with a visual snapshot showing:

  • Recent price movement
  • Momentum trends
  • Short-term vs. long-term grades
  • Signal performance over time

No need to deep-dive into separate pages unless you want to — Token Metrics puts quick visual context right where you need it to reduce friction and increase speed.

📱 Mobile-Optimized for Trading on the Go

We know many users monitor the market and execute trades from their phone. That’s why we’ve ensured the entire Market Page is fully mobile-responsive, optimized for fast swipes, taps, and decisions without losing any key insights.

With Token Metrics, your next trade idea can start while you’re commuting, grabbing coffee, or even mid-conversation at a crypto meetup.

The Token Metrics Advantage: AI-Powered Crypto Trading in Real-Time

This redesign is just one piece of the broader Token Metrics vision — making AI-driven crypto trading accessible to everyone.

If you’re serious about catching the next 10x altcoin, surviving market crashes, or just improving your signal-to-noise ratio, here’s why thousands of crypto traders choose Token Metrics:

  • Real-time trading signals for 6,000+ tokens
  • AI-generated Trader and Investor Grades
  • Market signals backed by 80+ data points
  • Daily updates from our deep-dive research AI
  • Integrated with self-custody workflows
  • Trusted by analysts, devs, and hedge funds

Our users aren’t just following the market — they’re leading it.

Use Case: How Traders Are Winning with Token Metrics

One of our users recently shared how they caught a 47% pump on an obscure DePIN token by acting on a Buy Signal that showed up in the Market Page’s Bullish section three days before the breakout. The token had minimal social chatter at the time, but our models flagged rising volume, strong fundamentals, and a breakout formation building on the technical side.

Stories like this are becoming common. With every new feature and dataset added to Token Metrics, users are getting smarter, faster, and more confident in their crypto trades.

What’s Next for the Market Page

This is just the beginning. Coming soon to the Market Page:

  • 💡 Auto-alerts based on your saved filters
  • 📊 Historical signal performance analytics
  • 🛠️ Integrations with our API for power users
  • 🧵 Narrative filters based on trending themes (AI, DeFi, Memes, RWA, etc.)

We’re building the most intelligent crypto trading assistant on the web — and the new Market Page is your window into it.

Final Thoughts: Don’t Just React — Predict

In crypto, being early is everything. But with thousands of tokens and hundreds of narratives, knowing where to look can be overwhelming.

The redesigned Token Metrics Market Page removes the guesswork.

By giving you AI-powered insights, real-time signals, and actionable visualizations, it transforms your screen into a decision-making engine. Whether you’re day trading or managing a long-term altcoin portfolio, the right data — surfaced the right way — gives you the edge you need.

Visit the new Market Page today, and see why 2025’s smartest crypto traders are making Token Metrics their go-to tool for navigating this volatile, opportunity-packed market.

Ready to Trade Smarter?

Explore the new Market Page

Want the signal before the crowd?

Try Token Metrics free and get instant access to:

  • AI Signals
  • Investor and Trader Grades
  • Market Timing Tools
  • Bullish and Bearish Alerts

Because in crypto, data is the new alpha — and Token Metrics helps you unlock it.

Research

Launchcoin, Hype Cycles, and the Power of Crypto Trading with Token Metrics

Token Metrics Team
4 min
MIN

In the fast-moving world of crypto, narratives can generate staggering returns — but they can also evaporate just as quickly. Launch Coin, one of 2025’s most talked-about tokens, is a perfect case study in how trends emerge, peak, and fade — and why having the right data matters more than ever for successful trading.

At its height, Launch Coin delivered an eye-popping 35x return, capturing the full attention of retail traders, influencers, and crypto-native venture funds alike. The premise was simple but powerful: users could launch a token simply by replying to a tweet. This radically lowered the barrier to token creation and empowered anyone with an idea to tokenize it — instantly.

But by late May, the token had corrected to 20x — still strong on paper, but signaling a definitive cooling of momentum. And with it, the social token narrative that once set Crypto Twitter on fire appears to be losing its grip. As traders reevaluate their exposure, this moment offers a broader lesson: the ability to detect the peak of a narrative is as important as catching its beginning.

The Rise of Launch Coin: What Made It Explode

Launch Coin arrived at just the right time.

  • The market was hungry for new ideas.
  • Token infrastructure had become easier than ever.
  • Crypto influencers were eager to test new engagement mechanics.

The combination of virality, accessibility, and novelty made Launchcoin irresistible. Its core feature — allowing users to tokenize ideas from social media — felt like the next evolution of community-building and creator monetization.

But more than the technology, it was the narrative that did the heavy lifting. In crypto, narratives are often the fuel that turns good ideas into short-term trading frenzies. And in Launchcoin’s case, the market piled in, creating the kind of momentum rarely seen outside meme coin season.

What the Drop to 20x Really Means

From a pure return standpoint, Launch Coin is still a winner. But price alone doesn’t tell the full story. The sharp retrace from its peak indicates a critical shift: interest is waning, even if believers remain vocal.

This kind of transition is common in crypto. We’ve seen it before:

  • Meme tokens like $DOGE and $PEPE exploding, then cooling.
  • NFT profile pictures dominating in 2021, then fading in 2022.
  • Yield farming innovations gaining traction, only to collapse under unsustainable tokenomics.

Launchcoin fits the same pattern. The rapid rise of token creation without friction led to a flood of low-quality projects, diluting excitement and prompting serious traders to rotate out. Today’s pullback reflects narrative fatigue — a critical turning point for traders.

Lessons from the Launch Coin Cycle — and How Token Metrics Helps You Trade Smarter

1. Narratives are powerful — but data wins trades

Many traders chase stories. But seasoned traders look for signals — the objective indicators that show when momentum is truly shifting. Token Metrics helps you cut through the noise by surfacing:

  • Trader Grade — based on short-term technicals, momentum, and volatility
  • Investor Grade — based on long-term fundamentals like liquidity, VC presence, and on-chain activity
  • Bullish/Bearish AI Signals — built on 80+ real-time data points

For Launch Coin, Token Metrics flagged the beginning of signal deterioration weeks before the broader market realized. While social media was still buzzing, our models showed declining momentum, weaker volume, and slowing engagement — early warnings for savvy traders.

2. You must be agile when trading narrative-based tokens

One of the biggest challenges in crypto trading is knowing when to rotate. Launch Coin’s decline didn’t happen in a vacuum. As capital exited social tokens, we saw attention shift toward AI tokens, DeFi lending protocols, and real-world asset platforms.

Token Metrics tracks narrative shifts in real time. On our Market Page, users can filter trending bullish signals by:

  • Sector (AI, DeFi, Memes, RWAs)
  • Chain (Ethereum, Solana, Base)
  • Signal strength
  • Market cap tiers (Large-cap, Mid-cap, Degen)

This makes it easier to identify early movers, reposition capital, and avoid getting trapped in narratives that are losing steam.

3. Tokens tied to platforms, not just hype, are more sustainable

Another insight: many of the most successful long-term tokens are backed by infrastructure, not just ideas. Ethereum, Solana, Chainlink — these all power ecosystems. Launchcoin’s challenge is whether it can evolve from a fun gimmick into a lasting layer for social token infrastructure.

Token Metrics’ Investor Grade can help you evaluate this potential by analyzing:

  • Ecosystem traction
  • Developer activity
  • Exchange listings
  • Backer profiles
  • Community strength

By weighting these factors into its grade, Token Metrics helps users avoid being misled by short-term excitement and focus instead on tokens with staying power.

Trading with Token Metrics: A Competitive Edge in Every Market Cycle

The Launchcoin episode highlights one truth about crypto: timing and information make the difference between profit and loss. And in an ecosystem driven by volatility, Token Metrics is designed to be your advantage.

Here’s what traders gain by using Token Metrics:

  • 🔎 Real-time trading signals for thousands of tokens
  • 💹 AI-powered market insights — fast, clean, and actionable
  • 📈 Dynamic grades and rankings updated daily
  • 🧠 Narrative awareness with filters for rising themes
  • 🧰 Toolkits for beginners and pros alike

Whether you’re scalping new tokens or investing in long-term projects, Token Metrics provides the data, structure, and confidence you need to trade smarter.

Looking Forward: Where Does the Market Go Next?

As Launch Coin cools, traders are asking: what’s the next 10x narrative?

Right now, data suggests that AI agents, DeFi primitives, and multi-chain interoperability are gaining traction. On the Token Metrics platform, the top-ranking bullish signals this week include several tokens tied to machine learning infrastructure and decentralized lending vaults.

But don’t wait for a newsletter to tell you what’s trending.

Explore the Token Metrics Market Page, set your filters, track the signals, and ride the next wave before it peaks. Because in crypto, the early bird doesn’t just get the worm — it gets the alpha.

Final Word: Stay Curious, Stay Cautious — and Stay Informed

Narratives will always rise and fall. What matters is your ability to spot when a hype cycle is starting — and when it’s ending.

With Token Metrics, you get more than just indicators. You get a full platform designed to surface truth beneath the noise — helping you trade with conviction, not confusion.

The Launchcoin cycle is a reminder of how fast crypto moves — and how important it is to trade with insight, speed, and structure.

Explore the platform today at tokenmetrics.com, and don’t just follow the narrative — trade it.

Research

How to Find the Next 10x Crypto Token with Token Metrics

Token Metrics Team
4 min
MIN

Every crypto investor dreams of discovering that one hidden gem — the token that goes from unknown to unstoppable, delivering 10x or even 50x returns. But with over 25,000 cryptocurrencies on the market in 2025, the big question remains: how do you actually find the one that will moon before the crowd catches on?

That’s where Token Metrics steps in.

By combining AI-powered crypto signals, narrative filters, advanced grading systems, and deep-dive analytics, Token Metrics makes it easier than ever to identify high-potential projects early — and trade them with confidence.

Whether you’re a retail trader looking for your first big win, or a seasoned investor building a crypto portfolio, Token Metrics gives you the tools to make smarter, faster, and more profitable decisions.

The 10x Formula: What Really Drives Explosive Growth in Crypto?

Not every token is destined for greatness. But nearly every 10x token follows a pattern before it takes off. At Token Metrics, we’ve studied thousands of chart patterns, price trends, and fundamental indicators to isolate the key ingredients most 10x tokens share before they explode:

🔥 1. Bold Signal Trigger

These are early-stage AI signals generated when a token begins to show strong upside potential. Token Metrics’ AI tracks market data, price momentum, sentiment, and technical indicators to identify early breakout signals.

📈 2. High Trader & Investor Grades

  • Trader Grade reflects short-term price action, momentum, and volume.
  • Investor Grade scores long-term potential based on liquidity, backers, tokenomics, community traction, and fundamentals.

When both grades are high — especially above 80 or 90 — it’s often a green light.

🌐 3. Trending Narrative

Every bull run has its dominant themes: DeFi in 2020, NFTs in 2021, AI and Modular Chains in 2025. A token aligned with a current hot narrative is more likely to gain attention and capital inflow.

📊 4. Community Growth

Real traction shows up through social media engagement, Discord activity, Telegram volume, GitHub commits, and on-chain user growth. Token Metrics integrates this into its AI analysis to measure rising network effect.

Token Metrics in Action: The Launch Coin Case Study

To see this in action, let’s look at Launchcoin, one of the most explosive tokens of early 2025. Launchcoin allowed anyone to tokenize ideas through social media replies — making it the centerpiece of the creator token narrative.

It went from stealth mode to stardom in days, ultimately delivering a 35x return for users who caught it early. How?

  • ✅ It appeared on the Token Metrics Market Page with a bold signal.
  • Trader Grade > 90 indicated massive price momentum.
  • ✅ The token was embedded in the hot social token narrative.
  • ✅ Community activity on X (formerly Twitter) and Discord spiked rapidly.

Users who followed the early bold signal and confirmed it with high grades had the data needed to act decisively — and ride the wave before it crested.

Token Metrics Tools That Help You Spot the Next 10x

Token Metrics isn’t just a signal service — it’s a full-suite crypto analytics platform designed to help traders and investors discover, analyze, and act on opportunities before the crowd.

Here are the core tools that help you catch winners early:

🔍 1. Market Page

View a curated dashboard of the latest AI-generated bold signals, updated in real time. Filter by:

  • Signal strength
  • Trader or Investor Grade
  • Chain (Ethereum, Solana, Base, etc.)
  • Sector (AI, DeFi, Gaming, Modular, Memecoins)
  • ROI since signal

This is your front-line tool for finding high-upside tokens before they trend on social media or exchanges.

📄 2. Token Detail Pages

Dig deeper into any token with complete analysis, including:

  • Grade breakdowns (with reasoning)
  • Historical signal performance
  • Price charts with annotated buy/sell points
  • Narrative classification
  • Community sentiment metrics

These pages help you validate and compare tokens before jumping in.

🧠 3. Narrative Filters

Narratives drive attention and capital in crypto. Use AI-driven filters to discover tokens within hot themes like:

  • AI Agents
  • Modular Chains
  • RWA (Real World Assets)
  • DeFi Lending
  • Gaming Tokens
  • Social & Creator Tokens

Narrative filtering helps you spot which sectors are heating up and which tokens are leading the charge.

🚀 4. Top Gainers Tab

Get a real-time feed of tokens that are climbing the ranks fastest based on signal performance, volume, and momentum. Great for catching short-term breakouts.

📬 5. Alerts and Watchlists

Set custom alerts for:

  • Grade thresholds
  • New bold signals
  • Tokens entering Top Gainers
  • Narrative rotations

This ensures you never miss a move — even if you’re not logged in 24/7.

Tips for Finding the Next 10x Crypto Token

Using Token Metrics gives you an edge, but timing and execution still matter. Here are key strategies:

Act Fast on Bold Signals

Early bold signals are where most 10x gains start. Check the Market Page daily and move quickly when grades align.

Use Grade Confirmation

Don’t just chase price action. Look for both Trader and Investor Grades above 80 — ideally above 90 for the biggest potential moves.

Monitor Narrative Cycles

Tokens in trending narratives often rise faster. Track narrative heatmaps on Token Metrics to stay aligned with the market zeitgeist.

Revisit Signals Daily

Momentum can shift fast. A token might go from a bold signal to a breakout in 24–48 hours. Stay on top of daily updates.

Diversify Across Narratives

Don’t go all-in on one theme. Spread bets across AI, DeFi, Memes, and Infrastructure to capture multiple emerging waves.

Token Metrics: Making Crypto Trading Easier, Smarter, and More Profitable

The crypto markets can be overwhelming — with noise, scams, and hype around every corner. Token Metrics simplifies the process by turning complex data into actionable insights.

Whether you're looking to catch your first 10x, avoid false pumps, or build a smart long-term crypto portfolio, Token Metrics gives you:

  • 🧠 Clarity in a noisy market
  • 📊 Data-backed conviction instead of guessing
  • Speed in identifying trends before they peak
  • Confidence to buy, hold, or exit with precision

With tools designed for traders, investors, and builders alike, Token Metrics turns analytics into alpha.

Final Thoughts: Don’t Chase Pumps — Predict Them

The next 10x token is already out there. It might be trading under the radar today, quietly showing early signs — a bold signal, strong grade, growing community.

Token Metrics is your map.

You don’t need to follow the crowd. With the right tools and discipline, you can trade ahead of the market, find the next Launchcoin, and position yourself for outsized gains.

Start your journey now at tokenmetrics.com — because in crypto, alpha favors the informed.

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.

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