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How to get the data: hand it to your agent, call the API, or find the dataset you need in the catalog.
  • AI agents and MCP

    Paste one line into Claude Code, Codex or Cursor and the agent sets itself up, or connect Claude, ChatGPT or Cursor to the MCP server.

    • MCP server
    • llms.txt

    Open /agents →

    paste into your agent
    Read https://aperiodic.io/start.md and follow it.

    Open inClaude Desktop·Claude Code (terminal)·Codex

    Or add it toClaude·ChatGPT·Cursor·VS Code

    Open /agents →

  • API reference

    History as Parquet over REST and every new row over WebSocket, on one key, with the Python SDK and CLI that wrap them.

    • Live stream
    • Python SDK
    • CLI
    • OpenAPI spec

    Open /api-docs →

  • Data catalog

    Every dataset and field, with a sample of each you can pull without a key.

    • Free preview
    • Order book metrics
    • Raw data

    Open /catalog →

Aperiodic

Built from hundreds of terabytes of raw data and distilled into point-in-time metrics you can pull as parquet files. Plus the raw trades, quotes and derivatives data behind them.

Use Cases
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  • Find new alpha
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Indices
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Metrics
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