> For the complete documentation index, see [llms.txt](https://gitbook-97.gitbook.io/datamind/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gitbook-97.gitbook.io/datamind/core-features/ai-reputation-system.md). # AI Reputation System #### **AI Reputation System: Trust That’s Earned, Not Bought** In a decentralized system, how do we know who to trust? DataMind solves this with a **reputation system** that scores users based on their contributions, accuracy, and feedback. The more high-quality work you do, the more respected you become. * Data Providers are rated for quality * Developers are rated for performance and transparency * Bad actors can’t game the system because they risk losing staked tokens It’s a **merit-based trust system** built for the AI era. --- # 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://gitbook-97.gitbook.io/datamind/core-features/ai-reputation-system.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.