> For the complete documentation index, see [llms.txt](https://docs.xynq.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.xynq.ai/fair-use.md). # Fair Use Free access is protected by lightweight, anonymous limits so the network stays available to everyone. ### Daily message allowance Each visitor gets a **daily allowance of free messages**. When you reach it: * the chat input is disabled with a clear message, * the allowance resets the next day (UTC), * you can return then — or contribute a node to expand capacity for all. The chat shows how many messages you have left so you're never surprised. ### Burst protection In addition to the daily allowance, a short-window rate limit prevents rapid-fire bursts that would crowd out other users. If you send too fast, you'll be asked to wait a moment. ### Enforced anonymously Limits are enforced on coarse, anonymous signals — **no account or personal data** is required or collected to apply them. This keeps the no-sign-ups promise intact. ### Why limits exist Capacity is real and finite at any moment (it's donated GPUs, after all). Fair-use limits ensure that free access is shared broadly rather than consumed by a few heavy users or abused by automated traffic. ### Want more throughput? The intended path to more capacity isn't a paywall — it's participation. **Run a node** and you directly increase the network's headroom for everyone, yourself included. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.xynq.ai/fair-use.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.