# Integrations This section gives an overview of live integrations powered by OpenRank. For each of the applications and use cases below, we have generated context-specific reputation graphs and computed various reputation and ranking algorithms like EigenTrust, Collaborative Filtering, Hubs and Authorities. 1. [Farcaster](/integrations/farcaster.md) - Ranking APIs to build better profile, frames, cast rankings and recommendations based on Farcaster social graph. 2. [Lens](/integrations/lens-protocol.md) - Ranking APIs to build better profile rankings and content feeds based on Lens social graph. 3. [Metamask Snaps Permissionless Distribution](/integrations/metamask-spd.md) - Prototype of a reputation computer based on positive/negative attestations to detect a community sentiment around the safety of a Snap. This can enable permissionless distibuion of Snaps within Metamask. 4. [Onchain Graphs and Feeds](/integrations/onchain-graphs-and-feeds.md) - Personalized Ranking APIs to find your onchain graph - your extended onchain network of friends/users based on p2p token transfers, NFT ownership and contract interaction. You can read [Upcoming integrations](/integrations/upcoming-integrations.md) to learn more about how OpenRank is currently in development across other use cases. --- # Agent Instructions: 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: ``` GET https://docs.openrank.com/integrations.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.