# Token Metrics AI integration on Definable

> Token Metrics provides an API offering real-time, AI-powered cryptocurrency data and insights for developers to build trading bots, dashboards, and portfolio tools.

## What this connects

Token Metrics provides an API offering real-time, AI-powered cryptocurrency data and insights for developers to build trading bots, dashboards, and portfolio tools.

Vendor: https://www.tokenmetrics.com/api

## Tools available

**5** tools available. First 5:

- `TOKEN_METRICS_GET_PRICE` — Get Price — Tool to retrieve real-time price and market metrics for a given cryptocurrency. Use when you need the latest price, volume, and market cap information for trading or analysis. Response fields like `volume24h` or `numberOfHolders` may be absent; treat missing fields as null, not zero.
- `TOKEN_METRICS_GET_TECHNICAL_INDICATORS` — Get Technical Indicators — Tool to retrieve technical indicators for a token. Use when you need technical analysis data for a specific symbol, interval, and indicator.
- `TOKEN_METRICS_GET_TOKENS` — Get Tokens — Tool to retrieve a paginated list of supported tokens with metadata. Use when you need comprehensive token listings across price, market cap, supply, and contract details. Returns token_id values required by TOKEN_METRICS_GET_PRICE and other endpoints — build your token_id mapping here first. Response fields such as volume24h and numberOfHolders may be absent for some tokens; treat missing values as null/unknown, not zero. tokenCreationDate is ISO-8601; convert to UTC for accurate age comparisons.
- `TOKEN_METRICS_GET_TOP_MARKET_CAP_TOKENS` — Get Top Market Cap Tokens — Tool to retrieve a list of tokens ranked by market capitalization. Use when you need an overview of the most valuable cryptocurrencies.
- `TOKEN_METRICS_GET_TRADING_SIGNALS` — Get Trading Signals — Tool to retrieve entry and exit crypto trading signals. Use when optimizing trading strategies with signal-based insights.

## Auth

Auth schemes: `API_KEY`.

## How agents use Token Metrics

Inside a Definable workflow, Token Metrics is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Token Metrics** — the Researcher (GPT-5.5) pulls context from Token Metrics (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Token Metrics** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Token Metrics (create record, post message, draft email).
- **Designer / Engineer → Distributor → Token Metrics** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Token Metrics (attach file, open PR comment, post status).

The Verifier checks every Token Metrics call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- analytics — https://definable.ai/apps/category/analytics/
- artificial intelligence — https://definable.ai/apps/category/artificial-intelligence/

## Related

- HTML page: https://definable.ai/apps/token_metrics/
- Same category (analytics): https://definable.ai/apps/category/analytics/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt