Token Metrics
Your AI agent pulls real-time cryptocurrency data from Token Metrics during live interactions. Traders get instant price checks, portfolio managers screen tokens by market cap, analysts pull RSI and MACD indicators, and trading bots receive buy/sell signals, all through natural conversation instead of switching between dashboards and charts.
Your AI agent queries Token Metrics' API for prices, indicators, signals, and token metadata. Market intelligence flows into conversations without dashboard navigation.
Token Metrics
See how traders, analysts, and portfolio managers use AI agents with Token Metrics to access crypto market data and AI-powered signals without switching tools.
A trader starts their day by messaging the AI agent for a market summary. The agent fetches the top 10 tokens by market cap, checks BTC and ETH prices, and pulls any active buy or sell signals from Token Metrics. The trader receives a concise briefing with prices, 24-hour changes, and signal recommendations before the first trade of the day.
During a weekly portfolio review, an analyst needs RSI values for five holdings on the daily timeframe. They list the symbols and the AI agent retrieves technical indicators from Token Metrics for each one. The analyst sees which assets are overbought or oversold and adjusts positions accordingly, all within the same conversation.
A fund manager is evaluating DeFi tokens with market caps between $10M and $500M. They tell the AI agent, which queries Token Metrics with the sector filter set to DeFi and market cap bounds. The agent returns a filtered list with current prices and trading signals. The manager shortlists candidates without touching a single screener tool.
Token Metrics
FAQs
The agent calls Token Metrics' Get Price endpoint with a numeric token_id and optional currency parameter (USD, EUR, GBP). It returns the latest price, 24-hour volume, market capitalization, and price change percentage. You can also set a limit to fetch multiple token prices in one call.
The Get Technical Indicators endpoint supports RSI, MACD, Bollinger Bands, and other standard indicators. You specify the symbol (e.g., BTCUSDT), interval (1h, 4h, 1d), indicator name, and optional date range. The agent returns up to 1,000 data points per request.
Tars uses an API key for authentication. Generate your key from your Token Metrics account dashboard and enter it in the Tars tool configuration. The key provides access to all available data endpoints based on your subscription tier.
No. Price data, indicators, and trading signals are fetched live from Token Metrics during conversations. Tars does not cache historical data or signal results between sessions.
Yes. The Get Trading Signals endpoint accepts symbol, signal_type (buy, sell, neutral), exchange, and timeframe parameters. The agent applies these filters to deliver targeted signals relevant to your specific trading strategy and preferred exchanges.
Token Metrics generates signals using machine learning models trained on historical price data and market patterns. The agent surfaces these signals as-is from the API. Signal accuracy depends on market conditions and the specific token. Always combine signals with your own analysis before making trading decisions.
The dashboard requires logging in and navigating through charts and tables. Through Tars, you query specific data points via natural language and get structured responses. Batch queries across multiple tokens or indicators happen in a single conversation instead of multiple page loads.
Yes. The Get Tokens endpoint accepts blockchain (e.g., Ethereum), category (e.g., DeFi), and market cap range filters. The Top Market Cap endpoint also supports sector filtering. The agent combines these to deliver curated token lists matching your screening criteria.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
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