> For the complete documentation index, see [llms.txt](https://docs.openrank.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.openrank.com/integrations.md).

# Integrations

This section gives an overview of live integrations powered by OpenRank.&#x20;

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.&#x20;

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. &#x20;
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.
