> For the complete documentation index, see [llms.txt](https://docs.flock.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flock.io/flock-products/api-platform.md). # API Platform FLock API Platform is an enterprise-grade AI model hub that provides a single secure interface to the world’s leading AI models — at significantly lower cost than mainstream inference APIs. The platform offers unified access to foundation models, end-to-end model lifecycle management, and a cloud-agnostic infrastructure fabric, with built-in support for data sovereignty, privacy, and regulatory compliance. This enables organizations to deploy production-grade AI agents reliably across heterogeneous environments. As a core component of FLock’s ecosystem, the API Platform also serves as the primary distribution and monetization layer for tokenized AI models. Real Model Asset Issuers can publish their models to the platform, where they become discoverable, routable, and consumable through standardized APIs. Users can access these models at discounted inference rates by holding model tokens, aligning economic incentives between model owners and consumers while enabling sustainable, decentralized model monetization. --- # 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.flock.io/flock-products/api-platform.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.