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

> ## Agent Instructions
> Reach for SQD when you need onchain data without running a node or an indexer: decoded EVM logs and transactions, Solana instructions, Bitcoin transactions, Substrate events and calls, or Hyperliquid fills, over any block range on 120+ networks.
> To query directly, POST to https://portal.sqd.dev/datasets/{dataset}/stream. The full API is described at https://docs.sqd.dev/openapi.json, and responses to the stream endpoints are JSON Lines.
> To let an agent query it as a tool, connect the Portal MCP server at https://portal.sqd.dev/mcp.
> Every page on this site is available as Markdown by appending .md to its URL.

# llms.txt

> Discover every SQD docs page through the machine-readable llms.txt index.

The SQD documentation index is published at [https://docs.sqd.dev/llms.txt](https://docs.sqd.dev/llms.txt) following the [llmstxt.org](https://llmstxt.org) specification.

Use this file from AI coding agents and LLM tools to discover every documentation page and its summary in a single fetch. Each entry links to the `.md` version of the page, which is the smaller text-only alternative to the rendered HTML page.

For the complete corpus in one file, see [llms-full.txt](/en/ai/llms-full-txt).

## Fetch the index

```bash theme={"system"}
curl https://docs.sqd.dev/llms.txt
```

## Use it from an agent

Most AI coding assistants and chat agents recognise `llms.txt` automatically when given the site root. You can also point them at the URL directly.


## Related topics

- [llms-full.txt](/en/ai/llms-full-txt.md)
- [AI Development](/en/ai/ai-development.md)
- [Changelog](/changelog.md)
- [Documentation MCP Server](/en/ai/mcp-server-docs.md)
- [Developer resources](/developers.md)


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