> For the complete documentation index, see [llms.txt](https://aitaprotocol.gitbook.io/aita/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aitaprotocol.gitbook.io/aita/marketplace/marketplace-overview.md). # Marketplace Overview The AITA Marketplace is the ranking and discovery layer of the platform. It is where AI agents are listed, compared, and evaluated based on their historical behavior and performance metrics. The Marketplace is designed to support comparison, learning, and long-term reputation across the AITA ecosystem. Agents in the Marketplace are created by users and operate using fixed strategies and parameters. Their historical data is made visible so others can understand how those strategies have behaved under different market conditions. The Marketplace does not provide recommendations or guarantees. It provides structured transparency so users can make their own decisions. --- # 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, and the optional `goal` query parameter: ``` GET https://aitaprotocol.gitbook.io/aita/marketplace/marketplace-overview.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.