> ## Documentation Index
> Fetch the complete documentation index at: https://docs.llmquantdata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> AI-native financial data platform for developers and AI agents

# LLMQuant Data API

LLMQuant Data provides unified access to financial data and proprietary quantitative knowledge — built for developers and AI agents.

<CardGroup cols={2}>
  <Card title="Proprietary Knowledge" icon="book-open" href="/en/api/knowledge/wiki-search">
    50,000+ Quant Wiki entries and 1,200+ research paper summaries — semantic search + read.
  </Card>

  <Card title="Market Data" icon="chart-line" href="/en/market-coverage">
    US equities (30+ years OHLCV), crypto klines & snapshot, 50+ curated macro indicators.
  </Card>

  <Card title="SEC & Smart Money" icon="file-invoice" href="/en/api/filings/13f-top-managers">
    10-K / 10-Q / 8-K filing browse + read. Form 13F: Top 1,000 institutional managers, at least the last 4 quarters.
  </Card>

  <Card title="MCP Server" icon="plug" href="/en/integration/mcp-server">
    Drop-in `@llmquant/data-mcp` for Claude / Cursor / Codex / Gemini CLI — every tool, one config.
  </Card>
</CardGroup>

## Quick Start

<Steps>
  <Step title="Get your API key" icon="key">
    Sign in to the [Dashboard](https://llmquantdata.com/dashboard) and copy a key from the **API Keys** section. Store it as an env var:

    ```bash theme={null}
    export LLMQUANT_API_KEY=your_api_key_here
    ```

    <Tip>
      Never hardcode the key in source. See [Authentication](/en/authentication) for details.
    </Tip>
  </Step>

  <Step title="Connect via MCP (recommended)" icon="plug">
    Native MCP integration — your agent calls 26 data and personal-context tools directly, no glue code.

    **Drop this prompt into your agent — it will read the canonical setup from GitHub:**

    ```text theme={null}
    Install the LLMQuant data-mcp server in this environment by following https://github.com/LLMQuant/data-mcp
    ```

    <Accordion title="Or install manually" icon="terminal">
      <CodeGroup>
        ```bash Claude Code theme={null}
        claude mcp add llmquant-data \
          -e LLMQUANT_API_KEY=$LLMQUANT_API_KEY \
          -- npx -y @llmquant/data-mcp
        ```

        ```bash Codex CLI theme={null}
        codex mcp add llmquant-data \
          --env LLMQUANT_API_KEY=$LLMQUANT_API_KEY \
          -- npx -y @llmquant/data-mcp
        ```

        ```bash Gemini CLI theme={null}
        gemini mcp add -s user \
          -e LLMQUANT_API_KEY=$LLMQUANT_API_KEY \
          llmquant-data \
          npx -y @llmquant/data-mcp
        ```
      </CodeGroup>

      Cursor, Claude Desktop, or another MCP runtime? See the full [MCP Server setup](/en/integration/mcp-server).
    </Accordion>
  </Step>

  <Step title="Try it from your agent" icon="sparkles">
    Restart the client, then drop one of these into the chat:

    <Prompt description="Wiki research">
      Search the Quant Wiki for "momentum factor" and read the top result.
    </Prompt>

    <Prompt description="Live price check">
      What's BTC trading at right now?
    </Prompt>
  </Step>

  <Step title="Or call the HTTP API directly" icon="terminal">
    Not on an MCP runtime? Hit the REST API directly at `https://api.llmquantdata.com`:

    ```python theme={null}
    import os, requests

    headers = {"Authorization": f"Bearer {os.environ['LLMQUANT_API_KEY']}"}
    url = "https://api.llmquantdata.com/api/equity/historical?ticker=AAPL&limit=5"
    print(requests.get(url, headers=headers).json())
    ```

    Browse the reference docs in the sidebar for every endpoint.
  </Step>
</Steps>