> For the complete documentation index, see [llms.txt](https://docs.thehemera.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.thehemera.com/welcome/account-centric-indexing-protocol/the-hemera-network/proprietary-data-and-labels.md). # Proprietary data and labels Data is the fuel for AI, and data residing outside of specific AI use cases are of much less value. The demand for proprietary data and labels usually arises from the needs to develop AI & ML models. This often involves the requirement for off-chain proprietary data & labels in addition to on-chain data. In model training scenarios, web3 end users are incentivized to contribute the requested data in a secure, verifiable and attributable manner. They earn both one-time incentives and continued reward shares when the developed model is utilized by consumers. After models are deployed in production, users' usage data can be securely recorded to aid in model improvement, thereby attributing thier contributions to the enhancement of the models. To achieve this goal, Hemera Network can integrate with 3rd party protocols, such as zero-knowledge proofs for data privacy and verification, incentive attribution protocols for tracking rewards, and and proprietary data and labels residing on Hemera Network as special artifacts providing value to consumers. --- # 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.thehemera.com/welcome/account-centric-indexing-protocol/the-hemera-network/proprietary-data-and-labels.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.