> For the complete documentation index, see [llms.txt](https://zeni.gitbook.io/zeni/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://zeni.gitbook.io/zeni/about-zeni/unique-value-proposition.md). # Unique Value Proposition #### For Users： ZENi makes online participation and on-chain activity useful for AI while keeping consent and control explicit. • Consent-first connectors for online sources; permissions are transparent and revocable. • Privacy-first processing and data minimization; raw sensitive inputs are reduced to proofs and aggregates where possible. • Rewards are aligned to signal quality and integrity rather than volume. #### For Builders ZENi provides clean, composable data products that plug into AI and analytics stacks. • Unified event schema with provenance metadata for reproducible pipelines. • Dataset versioning with integrity metrics, enabling repeatable training and evaluation. • APIs, SDKs, and webhooks for real-time signals and historical dataset access. #### For Enterprises ZENi offers configurable assurance and audit-friendly proof trails. • Integrity tiers (verification policies) for high-stakes workflows. • Audit-friendly commitments and quality metrics at dataset/version level. • Scalable access controls and partner-ready integration patterns. --- # 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://zeni.gitbook.io/zeni/about-zeni/unique-value-proposition.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.