AI agent reference

If you're feeding GrowPanel documentation into your own AI assistant — whether that's Claude, ChatGPT, Cursor, a custom agent, or anything else — this page is for you.

We publish our full documentation corpus as plain markdown, one file per section, refreshed on every deploy. Point your tool at whichever of these URLs is relevant:

• growpanel.io/docs.md — product documentation (features, metrics, configuration, how-tos)
• growpanel.io/academy.md — SaaS Metrics Academy (educational guides, independent of GrowPanel)
• growpanel.io/developers.md — REST API reference, CLI, MCP server, integration guides

There's also a short index at growpanel.io/llms.txt following the llms.txt convention, useful for agents that auto-discover AI-friendly content.

What's in each file

Each file is a single markdown document containing every page from that section of the site. Pages are separated by horizontal rules and each includes a URL comment pointing back to its canonical page, like this:

## Connecting Stripe
<!-- url: https://growpanel.io/docs/data-sources/stripe/ -->

Stripe is a payment processor that lets you collect payments from customers...

That means your AI can cite the source URL back to your users.

How we use it internally

GrowPanel AI, the in-product assistant, fetches docs.md and developers.md from this same place. When you ask it "how do I connect Chargebee?" or "what's the API endpoint for segments?", it's searching these exact files. The academy feed is available on request for broader SaaS-concept questions.

There's no separate "AI-only" API — we just publish the docs as plain markdown, and anything downstream reads them the same way a human curl would.

Keeping it fresh

The files are regenerated automatically on every deploy of growpanel.io. They always reflect the current state of our documentation.

Edge cache TTL is 10 minutes with stale-while-revalidate, so updates propagate within minutes, and your agent never has to wait on the origin for a slow fetch.

Questions, corrections, suggestions

If something in our docs is wrong, out of date, or unhelpful for your AI use case — let us know. We read every piece of feedback.