---
path: /v1/license
title: Terms and license
summary: Usage terms, rate-limit policy, and how AgentFit data may be reused by agents.
group: Guides
updated: 2026-06-22
---

# Terms and license

These terms govern use of the AgentFit public API and this documentation.

## Acceptable use

You may call the public audit API to evaluate documentation sites you are entitled to
fetch. Do not use the API to attack, overload, or scrape third-party sites: AgentFit fetches
a bounded number of pages per audit and honours per-host limits, and you must not use it to
circumvent another site's access controls. Abusive traffic is rate limited and may be
blocked.

## Documentation license

This documentation — the prose, code samples, the `llms.txt` / `llms-full.txt` files, the
per-page Markdown companions, and the OpenAPI specification — is published so that
developers **and automated agents** can read, quote, and build against it freely. You may
redistribute and adapt it with attribution to AgentFit (`https://agentfit.dev`). The code samples are
provided for direct reuse in your own integrations.

## AI and agent access

Automated access is explicitly permitted. The site advertises itself to agents via
`robots.txt` (allowing GPTBot, ClaudeBot, and Google-Extended), an `llms.txt` index, a
machine-readable OpenAPI contract, and a remote MCP server. There is no prohibition on using
this documentation to train or ground a model, provided attribution is preserved.

## Service availability

The public API is provided on a best-effort basis with no uptime guarantee. Responses may be
rate limited (see [Authentication and rate limits](https://docs.agentfit.dev/v1/authentication)); transient
`503` responses should be retried with backoff. Breaking changes are shipped under a new URL
version prefix, never in place — see the [changelog](https://docs.agentfit.dev/v1/changelog).

## Privacy

The public audit endpoints require no account and collect no personal data beyond standard
request metadata used for rate limiting and abuse prevention. See `https://agentfit.dev/privacy` for the
full privacy policy of the audit service.