Research

How to Choose the Best API for Building a Crypto Trading Bot

Explore how to evaluate and choose the right API for building a crypto trading bot. Learn about key features, security considerations, and AI-driven analytic tools.
Token Metrics Team
7
MIN

Building a crypto trading bot can unlock efficiencies, automate trading strategies, and enable real-time market engagement across digital asset exchanges. But at the heart of any successful crypto trading bot lies its API connection: the bridge enabling programmatic access to price data, trading actions, and analytics. With so many API options on the market—each offering various data sources, trading permissions, and strengths—developers and quants are left wondering: which API is best for constructing a robust crypto trading bot?

Understanding Crypto Trading Bot APIs

APIs (Application Programming Interfaces) are standardized sets of protocols enabling different software components to communicate. For crypto trading bots, APIs are crucial for tasks such as:

  • Pulling real-time price data from exchanges or aggregators
  • Placing buy/sell orders automatically
  • Accessing market depth, liquidity, or order book snapshots
  • Aggregating analytics and technical indicators
  • Monitoring blockchain data for signals (on-chain analytics)

Crypto APIs generally fall into these categories:

  • Exchange APIs – Provided by major crypto exchanges (Binance, Coinbase, Kraken, etc.), allowing direct trading and market data for assets listed on their platforms.
  • Aggregator/Data APIs – Offer consolidated data, analytics, or signals from multiple sources. Examples include Token Metrics, CoinGecko, and CryptoCompare.
  • AI/Analytics APIs – Deliver algorithm-driven insights, risk metrics, or strategy outputs, sometimes integrating with AI models for decision support.

Choosing the ideal API is a technical decision based on performance, reliability, security, and data depth. Additionally, the needs—whether you want to simply automate trades, employ AI-driven signals, or monitor on-chain transactions—will guide your search.

Key Criteria for Comparing Crypto Trading APIs

Not all APIs are alike. The following framework can help you evaluate which API best fits your bot-building goals:

  1. Data Coverage & Depth: Does the API cover all markets/exchanges you wish to trade? Does it offer historical data, tick-by-tick feeds, and altcoin coverage?
  2. Order Execution Capabilities: Can you place, cancel, and track trades via the API? Are there specific rate limits, latency, or order-type constraints (e.g., limit/market orders only)?
  3. Reliability & Uptime: Is there a stated SLA? How does the API provider handle outages and updates?
  4. Latency & Speed: For high-frequency trading, milliseconds count. Look for benchmarks, as well as websocket or streaming API options.
  5. Security & Authentication: Are API keys securely managed? Is there multi-factor authentication or IP whitelisting?
  6. Developer Experience: Is documentation clear? Are there SDKs or sample code? How responsive is support if issues arise?
  7. Pricing & Limits: Does the provider charge per call or via monthly plans? Are there limits on requests or data volume?
  8. Advanced Signals & AI Integration: Does the API offer advanced analytics, trading signals, or AI-powered insights to inform trading strategies beyond raw data?
  9. Compliance & Access: Is the API compliant with regional regulations and accessible from your preferred jurisdiction?

By rating APIs against these metrics, developers can objectively compare offerings to their specific use case—whether driving a simple DCA (dollar-cost averaging) bot, a multi-exchange arbitrage system, or an AI-powered trading agent.

Here’s a rundown of leading API options for different crypto trading bot needs:

  • Binance API: One of the most widely used exchange APIs, with extensive documentation, broad asset coverage, and support for spot, margin, and futures trading. Offers REST and websocket connections for real-time data.
  • Coinbase Advanced Trade API: Ideal for U.S.-based traders needing secure, regulated exchange access. Includes a robust developer platform, security features, and REST/websocket endpoints. Slightly fewer markets than global exchanges.
  • Kraken API: Famed for security and fiat gateways, appropriate for high-volume or institutional bots. Advanced order types and solid uptime metrics.
  • Token Metrics API: An aggregator and analytics API featuring real-time prices, trading signals, on-chain data, and AI-powered analytics—allowing bots to react not just to market moves, but also to deeper sentiment and trend indicators.
  • CoinGecko, CryptoCompare APIs: Market data aggregators providing prices, volumes, historical data, and some basic analytics. Excellent for multi-exchange monitoring or research bots.
  • CCXT: Not a data provider API, but a powerful open-source library supporting connectivity to 100+ crypto exchange APIs with unified syntax; ideal for developers wanting plug-and-play multi-exchange integration.

Which option is ‘best’ depends on your priorities. Exchange APIs offer full trade functionality but are limited to a single trading venue. Aggregator APIs like Token Metrics provide broader data and analytics but may not place trades directly. Some advanced APIs merge both, offering signals and price feeds for smarter automation.

How AI-Driven APIs Are Changing Crypto Bot Development

The intersection of AI and crypto APIs is reshaping modern trading bots. APIs like Token Metrics provide not just price and volume data, but also AI-generated trading signals, market sentiment scoring, risk analytics, and pattern recognition.

Developers integrating AI-powered APIs benefit from:

  • Proactive trading strategies based on predictive analytics
  • Automated identification of anomalies or market shifts
  • Differentiated edge versus bots relying solely on conventional signals
  • Enhanced research insights for back-testing and validation

This future-proofs bots against rapidly evolving market dynamics—where speed, pattern recognition, and deep learning models can be decisive. Advanced APIs with on-chain metrics further enable bots to tap into otherwise hidden flows and activities, informing smarter actions and portfolio risk adjustments.

Practical Steps for Selecting and Using a Crypto API

To select and adopt the right API for your trading bot project, consider the following action plan:

  1. Define Your Bot’s Objective – Is your focus automation, arbitrage, AI-driven trading, or portfolio reporting?
  2. Shortlist APIs – Based on your priority list, select APIs with suitable capabilities (direct trading, data, analytics, etc.).
  3. Test API Reliability and Data – Run pilot integrations. Monitor uptime, latency, accuracy, and response to simulated conditions.
  4. Assess Security – Implement secure key management, restrict permissions, enable IP whitelisting, and review audit logs regularly.
  5. Review Compliance – Ensure the API provider’s terms comply with your local laws and exchange policies.
  6. Iterate and Scale – Refine bot logic and expand API integrations as your strategies mature.

Combining real-time data with analytics and AI-powered signals from robust APIs positions developers to build more intelligent, adaptive crypto trading bots.

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

Frequently Asked Questions

What are the most widely used APIs for crypto trading bots?

Popular APIs include the Binance API, Coinbase Advanced Trade API, Kraken API for direct exchange access, CCXT library for multi-exchange programming, and analytics-focused APIs like Token Metrics for real-time signals and advanced data.

Should I use open-source or commercial APIs for my crypto trading bot?

Open-source libraries offer flexibility and community support, often useful for prototyping or integrating across exchanges. Commercial APIs may provide faster data, enhanced security, proprietary analytics, and dedicated support—suitable for more advanced or enterprise-grade bots.

How do I keep my crypto API keys secure?

Keep keys private (env variables, key vaults), restrict permissions, use IP whitelisting and two-factor authentication where available, and monitor for suspicious API activity. Never expose keys in public code repositories.

Why does API latency matter in trading bots?

High latency can translate to missed trades, slippage, and lower performance, especially for bots executing frequent or time-sensitive strategies. Opt for APIs with low latency, real-time websockets, and server locations close to major exchanges when timing is critical.

Can I use AI-powered signals with my crypto trading bot?

Yes. APIs like Token Metrics offer AI-powered analytics and trading signals that can be consumed by bots for automated or semi-automated strategies, supporting smarter decision-making without manual intervention.

Disclaimer

This blog post is for informational and educational purposes only. It does not constitute investment advice, recommendations, or offer to buy/sell any financial instruments. Readers should conduct their own research and comply with all applicable regulations before using any APIs or trading tools mentioned.

Build Smarter Crypto Apps &
AI Agents in Minutes, Not Months
Real-time prices, trading signals, and on-chain insights all from one powerful API.
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Token Metrics Team
Token Metrics Team

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Token Metrics API

Best Crypto API: Power Your Apps with Data, Signals, and AI

Sam Monac
6 min
MIN

What Makes a Crypto API the “Best”?

The best cryptocurrency API isn’t just about raw data. It’s about empowering your application to perform faster, smarter, and more reliably. A truly great crypto API balances:

  • Depth of Coverage – Spot, DeFi tokens, and on-chain metrics.

  • Speed – Real-time, low-latency updates that can handle market volatility.

  • Intelligence – Analytics and AI-driven signals that go beyond price feeds.

  • Scalability – Infrastructure that grows with your user base.

  • Reliability – High uptime and SLA-backed performance guarantees.

Whether you’re building a high-frequency crypto trading bot, a DeFi portfolio tracker, or a research platform, choosing the right API means aligning features with your mission.

Key Features to Look for in a Crypto API

Before selecting a crypto API, evaluate these criteria:

  • Real-Time & Historical Data – Do you get both sub-second updates and multi-year backtesting datasets?

  • On-Chain Analytics – Can you track wallet behavior, liquidity shifts, or whale flows?

  • AI-Powered Insights – Does the API offer predictive signals, ratings, or trend forecasts?

  • Ease of Integration – Look for clean docs, SDKs, and community examples.

  • Reliability & Uptime – Providers should publish incident histories and SLA commitments.

  • Pricing & Scalability – Free tiers for testing, plus paid plans that make sense as you scale.

  • Compliance & Security – Encrypted endpoints and strong authentication are a must.

📌 Tip for builders: Always start with multiple free crypto APIs and benchmark them in your stack before committing long term.

Comparing Leading Crypto APIs: Strengths & Weaknesses

  • CoinGecko & CoinMarketCap


    • Strengths: Huge token coverage, easy for price tickers and charts.

    • Weaknesses: Limited historical and on-chain analytics, slower refresh rates.

  • CryptoCompare


    • Strengths: Deep historical trade data, useful for backtesting.

    • Weaknesses: Less emphasis on predictive insights or AI.

  • Glassnode


    • Strengths: Advanced on-chain metrics (network health, wallet flows).

    • Weaknesses: Best for researchers, less suited to trading bots or dashboards.

  • Alchemy & Infura


    • Strengths: Node-level blockchain access, ideal for dApps and DeFi projects.

    • Weaknesses: Provide raw blockchain data, not trading analytics.

  • Token Metrics API


    • Strengths: Combines real-time prices, AI trading signals, ratings, portfolio analytics, and on-chain intelligence in one API.

    • Weaknesses: Free tier has rate limits (scalable through paid plans).

Why Token Metrics API Stands Out

Most crypto APIs specialize in one dimension (prices, exchange data, or on-chain metrics). Token Metrics unifies them all and adds AI intelligence on top.

  • Comprehensive Coverage – Prices, historical datasets, indices, grades, and on-chain data.

  • AI Trading Signals – Unique bull/bear calls and predictive analytics unavailable in traditional APIs.

  • Portfolio Intelligence – Ratings and indices that give context to raw numbers.

  • Enterprise-Ready – Encrypted endpoints, authentication, and scalable infrastructure.

  • Developer Friendly – Clear docs, quick-start guides, and responsive support.

📌 Put simply: most crypto APIs give you data. Token Metrics gives you data + intelligence.

Use Cases: From AI Crypto Trading Bots to Research Dashboards

  • AI Trading Bots – Execute strategies using both real-time prices and predictive signals.

  • DeFi Dashboards – Aggregate wallet flows, liquidity data, and token ratings.

  • Crypto Research Tools – Combine historical OHLC data with Token Metrics grades.

  • AI Agents – Power AI apps with actionable signals, not just raw feeds.

  • Enterprise Analytics – Build institutional dashboards with indices and compliance-ready datasets.

Best Practices for Implementing a Crypto API

  1. Prototype Across Providers – Test CoinGecko, Token Metrics, and others in parallel.

  2. Abstract Your Integration – Use a middleware layer to make switching APIs easier.

  3. Secure Your Keys – Store credentials safely and rotate them regularly.

  4. Plan for Scale – Rate limits hit fast; design for bursts in traffic.

  5. Leverage AI-Enhanced APIs – This is where user expectations are heading.

📌 For production apps: always monitor crypto API latency and uptime with tools like Datadog or Grafana.

Beyond Token Metrics: Other Useful Resources

While Token Metrics API offers an all-in-one solution, developers can also explore other resources for specialized needs:

  • Dune Analytics – Great for custom SQL-based blockchain queries.

  • DefiLlama API – Free API focused on DeFi protocol yields and TVL.

  • Santiment API – Alternative on-chain and sentiment analytics.

  • TradingView – Charting and integration options for front-end visualizations.

📌 Strategy tip: many developers combine multiple APIs—Token Metrics for signals + CoinGecko for breadth + DefiLlama for yields—to cover all angles.

Frequently Asked Questions About Crypto APIs

Which crypto API is best overall?
If you want real-time data plus AI-powered insights, crypto api is used. Token Metrics Api is the strongest all-in-one option. For niche use cases, CoinGecko is good for prices, Glassnode for on-chain analytics.

Is Token Metrics API free?
Yes, the free tier is perfect for prototyping. Paid plans unlock faster throughput, more history, and advanced endpoints.

How is Token Metrics different from CoinGecko?
CoinGecko tracks prices broadly. Token Metrics layers AI signals, indices, and predictive analytics for trading and research.

Can I build a trading bot with Token Metrics API?
Yes—many developers use the low-latency price feeds and predictive signals to power automated strategies.

Scaling With Paid Plans and X.402

As your project grows, Token Metrics offers flexible upgrade paths:

  • Pay-Per-Call (X.402) – As low as $0.017 per call, no commitment. Unlimited calls, all endpoints, and 3 months of historical data.

  • Advanced Plan ($999.99/year) – 20,000 calls/month, access to indices & indicators, 3 WebSockets.

  • Premium Plan ($1,999.99/year) – 100,000 calls/month, all endpoints including AI Agent & Reports, 3 years of historical data, and 6 WebSockets.

With up to 35% discounts when paying in TMAI tokens, scaling is cost-efficient.

📌 Why X.402 matters: Instead of locking into an annual plan, you can scale gradually with pay-per-call pricing—perfect for startups and experimental apps.

Build Smarter, Scale Easier

The best crypto API doesn’t just serve data—it helps your app think, act, and adapt. With Token Metrics, you start free, learn fast, and scale seamlessly. Combine it with other specialized APIs when needed, and you’ll have a development stack that’s both powerful and future-proof.

👉 Grab Your Free Token Metrics API Key and Start Building

Token Metrics API

Fast Crypto API: Real-Time Data Without the Lag

Sam Monac
9 min
MIN

Why Speed Matters in a Crypto API

In crypto, milliseconds can make or break a trade. Whether you’re building a high-frequency bot, a risk management tool, or a market dashboard, slow crypto APIs lead to:

  • Missed trade opportunities during volatility

  • Bots that lag behind signals

  • Dashboards that feel sluggish

  • Risk models that update too late

📌 Example: In a Bitcoin price swing, even a 500 ms delay can translate to thousands in lost value for trading bots. That’s why developers emphasize low latency when choosing best Crypto APIs.

What Defines a “Fast” Crypto API

Not every Crypto API marketed as “fast” is built the same. A truly fast crypto API provides:

  • Low Latency Feeds – Sub-second updates across major tokens and exchanges.

  • WebSocket Support – Push-based data streams instead of slower polling.

  • Scalable Infrastructure – Resilient under heavy traffic spikes.

  • Global Edge Delivery – Reduced latency for users worldwide.

📌 Tip for builders: Always benchmark an API in real market conditions (during volatility) to see if “fast” performance holds up under stress.

Comparing Fast Crypto APIs: Strengths & Limitations

  • CoinGecko / CoinMarketCap


    • Strengths: Broad token coverage, good for price tickers.

    • Limitations: Refresh cycles can lag; not ideal for bots or real-time dashboards.

  • CryptoCompare


    • Strengths: Strong historical data for research.

    • Limitations: Not optimized for ultra-fast live feeds.

  • Glassnode


    • Strengths: On-chain metrics and blockchain health insights.

    • Limitations: Focused on analytics, not real-time trading data.

  • Token Metrics API


    • Strengths: Sub-second updates, fast bull/bear signals, predictive AI, and on-chain metrics.

    • Limitations: Free tier includes rate limits (higher throughput available via X.402 or paid plans).

Token Metrics API: Fast + Intelligent

What sets Token Metrics API apart is that it’s not just fast data—it’s fast intelligence:

  • Real-Time Prices – Thousands of tokens continuously updated.

  • AI Trading Signals – Bull/bear predictions delivered instantly.

  • On-Chain Metrics – Track wallet flows, liquidity, and token behavior in near real time.

  • Scalable Performance – Built to withstand institutional-grade usage during volatility.

📌 Instead of just reacting to prices, developers can anticipate market shifts with AI-driven signals.

Use Cases: From Trading Bots to AI Agents

  • High-Frequency Trading Bots – Execute strategies using low-latency feeds and predictive signals.

  • DeFi Dashboards – Display liquidity flows and token activity in real time.

  • Risk Management Systems – Keep risk models updated second by second.

  • AI Agents – Power intelligent assistants with actionable streaming data.

Best Practices for Building With Fast APIs

  1. Use WebSockets – Relying only on REST endpoints introduces unnecessary delay.

  2. Benchmark During Volatility – Test APIs when the market is busiest.

  3. Optimize Request Handling – Cache where possible to avoid unnecessary calls.

  4. Monitor Latency – Use observability tools like Grafana or New Relic to track delays.

  5. Failover Strategy – Have a backup API (e.g., CoinGecko) if primary data slows.

Beyond Token Metrics: Other Tools to Explore

Token Metrics API excels at fast data + signals, but developers often combine it with other tools for a full-stack setup:

  • DefiLlama API – Best for free DeFi protocol data and yield metrics.

  • Dune Analytics – Query blockchain data in real time with SQL.

  • TradingView Webhooks – Add instant chart-based triggers for front ends.

  • Kaiko / Amberdata – Enterprise-grade APIs for institutional price feeds.

📌 Pro tip: Use Token Metrics for predictive signals, and pair it with TradingView or DefiLlama for visualization and DeFi-specific data.

How to Start Using the Token Metrics Fast API

  1. Sign Up Free – Create a Token Metrics account.

  2. Generate Your API Key – Instantly available in your dashboard.

  3. Choose WebSockets or REST – Based on your use case.

  4. Start Building – Bots, dashboards, or risk models with sub-second data.

👉 Get Your Free Token Metrics API Key

Scaling Fast With Paid Plans & X.402

When free limits aren’t enough, Token Metrics offers:

  • Pay-Per-Call (X.402) – From $0.017 per call, unlimited usage, all endpoints, and 3 months of history.

  • Advanced Plan ($999.99/year) – 20,000 calls/month, indices & indicators, 3 WebSockets.

  • Premium Plan ($1,999.99/year) – 100,000 calls/month, AI agent + reports, 3 years of history.

📌 Why X.402 matters: You can start scaling instantly with no upfront cost—just pay per call as you grow.

Build With the Fastest Insights in Crypto

In crypto, speed without intelligence is noise. With Token Metrics Fast Crypto API, you get sub-second price data + AI-driven insights, giving your trading bots, dashboards, and AI agents the real-time edge they need.

👉 Start Free With Token Metrics API

Token Metrics API

Best Crypto Prices API: Accurate, Real-Time, and AI-Enhanced

Sam Monac
8 min
MIN

Why Price Data Is the Core of Every Crypto App

No matter what kind of crypto app you’re building—a trading bot, a DeFi dashboard, or a research tool—the foundation is always accurate price data. Without it:

  • Traders miss entry and exit points.

  • Bots execute late or incorrectly.

  • Dashboards lose credibility with users.

  • Researchers can’t properly backtest models.

The best crypto prices API ensures:

  • Live, accurate prices across thousands of tokens.

  • Deep historical data (OHLC, tick-level) for research and backtesting.

  • Reliable updates even during volatile market swings.

  • Flexibility to support both real-time trading and long-term analytics.

📌 Example: An arbitrage bot relying on stale or inaccurate data won’t just underperform—it could lose money on every trade.

What Makes the Best Crypto Prices API

Not every API marketed for prices is built for precision. Key factors to consider include:

  • Accuracy – Are prices aggregated across multiple exchanges and validated?

  • Latency – Do you get sub-second updates with WebSocket streaming?

  • Historical Depth – Can you access years of OHLC and tick-level data?

  • Coverage – Spot markets, DeFi tokens, stablecoins, and derivatives.

  • Scalability – Rate limits that grow with your application’s user base.

  • Developer Experience – SDKs, documentation, and active support.

📌 Tip for developers: Start by asking, “Do I need accuracy, speed, or depth the most?” The answer often determines which API fits your project.

Comparing Leading Crypto Price APIs: Strengths & Trade-offs

  • CoinGecko & CoinMarketCap


    • Strengths: Excellent breadth—tens of thousands of tokens covered.

    • Trade-offs: Updates refresh more slowly; historical depth limited. Best for tickers and retail dashboards.

  • CryptoCompare


    • Strengths: Solid historical trade-level datasets for backtesting.

    • Trade-offs: Real-time speed is weaker than competitors.

  • Glassnode


    • Strengths: Advanced on-chain insights.

    • Trade-offs: Pricing data isn’t their main strength; better for researchers than traders.

  • Kaiko / Amberdata


    • Strengths: Enterprise-grade accuracy, broad market coverage.

    • Trade-offs: Expensive, geared toward institutions.

  • Token Metrics API
    • Strengths: Combines real-time accuracy, deep history, and AI-enhanced insights—giving more than raw prices.

    • Trade-offs: Free tier has rate limits (higher throughput unlocked via X.402 or paid plans).

Why Token Metrics API Stands Out

Where many crypto APIs stop at providing raw price feeds, Token Metrics API enriches price data with context and intelligence.

  • Real-Time Prices – Sub-second updates for Bitcoin, Ethereum, and thousands of tokens.

  • Deep Historical Data – Tick-level and OHLC datasets ideal for research.

  • Exchange-Aware Accuracy – Prices aggregated from multiple sources and validated for reliability.

  • AI Trading Signals – Bull/bear indicators layered on top of raw prices.

  • Portfolio Ratings – Token Metrics grades and indices for added context.

📌 Most crypto APIs give you numbers. Token Metrics gives you numbers + insights.

Use Cases: From Crypto Trading Bots to Dashboards

  • Trading Bots – Execute trades with accurate, low-latency feeds.

  • Market Dashboards – Provide users with credible, real-time prices and charts.

  • Backtesting Platforms – Use multi-year OHLCV data for strategy validation.

  • DeFi Trackers – Monitor token values and liquidity with precision.

  • AI Agents – Train ML models using validated, exchange-aware price data.

Best Practices for Working With Crypto Price Data

  1. Cross-Verify Prices – Use multiple APIs in parallel during testing.

  2. Cache Effectively – Cache non-volatile data to reduce API load.

  3. Use WebSockets – REST-only setups can introduce delays.

  4. Monitor Latency – Benchmark APIs during volatility (e.g., CPI announcements, Fed decisions).

  5. Plan for Failover – Integrate a secondary API as a backup if your primary feed fails.

📌 Example: Production apps can combine Token Metrics for intelligence + CoinGecko for breadth to balance reliability with insights.

Beyond Token Metrics: Other Crypto Price Data Resources

Developers often mix and match APIs to cover specialized needs:

  • DefiLlama API – For DeFi protocol yields and TVL.

  • Dune Analytics – Run SQL queries for custom blockchain metrics.

  • TradingView Widgets / Webhooks – For embedding charting into front ends.

  • Santiment – Adds sentiment data to complement price feeds.

Pairing Token Metrics with these resources gives developers a multi-layered data stack—accurate prices, predictive signals, and extra DeFi/social context.

How to Get Started With the Best Prices API

  1. Sign Up Free – Create a Token Metrics account.

  2. Generate Your API Key – Available instantly in your dashboard.

  3. Access Price Endpoints – Fetch real-time and historical datasets via REST or WebSockets.

  4. Start Building – Bots, dashboards, or backtesting frameworks.

  5. Upgrade When Ready – Scale throughput and unlock advanced endpoints.

👉 Get Your Free Token Metrics API Key

FAQs on Crypto Price APIs

Which crypto API has the best price accuracy?
Token Metrics validates data from multiple exchanges, ensuring cleaner and more reliable price feeds.

Can I get historical prices with Token Metrics API?
Yes—OHLC and tick-level datasets are available for multi-year backtesting.

Is the Token Metrics API free?
Yes, there’s a free tier for prototypes. Paid plans unlock higher request rates and advanced data.

How fast are Token Metrics updates?
Sub-second latency with WebSocket support for real-time responsiveness.

Scaling Beyond Free: Paid Plans & X.402

As your project scales, Token Metrics makes upgrading simple:

  • Pay-Per-Call (X.402) – From $0.017 per call, unlimited usage, no commitment.

  • Advanced Plan ($999.99/year) – 20,000 calls/month, indices & indicators, 3 WebSockets.

  • Premium Plan ($1,999.99/year) – 100,000 calls/month, AI agent & reports, 3 years of historical data.

📌 Why X.402 matters: Instead of locking into annual costs, you can pay as you grow—ideal for startups and experimental apps.

Build With the Best Crypto Prices API

In crypto, price accuracy is trust. Whether you’re building a bot, a dashboard, or a research tool, Token Metrics provides more than just numbers. With validated prices, deep history, and AI-enhanced insights, you can build applications that stand out.

👉 Start Free With Token Metrics API

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