> For the complete documentation index, see [llms.txt](https://propichain.gitbook.io/propichain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://propichain.gitbook.io/propichain/software-components/api-libraries.md). # API Libraries PropiChain is focused on developing robust API libraries designed to seamlessly integrate third-party applications with the PropiChain registry. These libraries ensure direct interaction with the underlying smart contracts, guaranteeing both reliability and decentralization. By bypassing the need for the PropiChain website or other centralized components, these APIs enable developers to access, modify, and utilize registry data with greater flexibility and security. This approach not only enhances the scalability of the PropiChain platform but also promotes innovation by allowing external applications to leverage the decentralized infrastructure directly. --- # 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://propichain.gitbook.io/propichain/software-components/api-libraries.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.