This documentation is published in machine-readable formats so that large language models and AI agents can consume it directly, without scraping rendered HTML.

llms.txt

A single index of the whole documentation is available at /llms.txt, following the llms.txt convention. It lists every page with a short summary and a direct link, giving an agent a compact map of the docs in one request.

Per-page Markdown

Every page is also available as raw Markdown. Append .md to a page’s path, or use index.md for a section’s landing page. For example:

• /docs/peering/getting-started.md
• /docs/probing/probes.md
• /docs/peering/index.md (section landing page)

This gives agents clean, structure-preserving content to ingest instead of HTML.

Querying the data

To go beyond the documentation and query the open datasets in natural language, see the MCP Servers page.