> For the complete documentation index, see [llms.txt](https://docs.halo.social/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.halo.social/technical-architecture/2.-monetization/ai-corpus.md). # AI Corpus AI Corpus allows users to earn revenue through both data authorization and data labeling. * **Data Authorization** Data authorization is completed through a combination of on-chain and off-chain. Users can trigger data authorization transactions in the Halo app. After authorization, the authorization status will be recorded in the smart contract, and the smart contract is responsible for determining the authorization status and calculating rewards. After authorization, the user can cancel the authorization at any time, which will also interrupt the rewards. * **Data Labeling** Users can participate in data labeling in the Halo app. Users who participating in data labeling need to stake a certain amount of Halo tokens to prevent malicious behavior. The data will be grouped, labeled, and eventually provided to third-party companies for a fee. Groupings are continuously adjusted to quickly identify malicious behavior. Once malicious behavior such as mislabeling is discovered, the user's staked Halo tokens will be deducted and distributed to other affected users. The remuneration for data annotation will be distributed according to the workload of different users. --- # 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://docs.halo.social/technical-architecture/2.-monetization/ai-corpus.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.