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OpenRank
@openrank
Launching the OpenRank SDK that allows developers to utilize the first version of OpenRank Protocol to create their own context-specific rankings and reputation scores on any input data set. Developers can bring onchain or offchain data and compute reputation in a self-serve way.
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OpenRank
@openrank
The SDK is already being used for ranking and reputation across onchain transactions, attestations, credentials, farcaster, lens and even off chain data sets such as GitHub forks, stars, PRs.
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OpenRank
@openrank
SDK v1 supports EigenTrust algorithm, which is most suitable for ranking and reputation based on any peer-to-peer data set or graph. For example, voting, p2p vouching and credentialing, social network engagement, token transfers.
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OpenRank
@openrank
Use cases that can leverage the SDK include social graphs, github code collaborations, contribution attributions, attestations, tipping and so on. Check out our documentation here to learn more https://docs.openrank.com/openrank-sdk
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OpenRank
@openrank
Here is also a full walk-through example from Andrew Hong (@ilemi) using Dune data and OpenRank SDK: https://www.supercast.xyz/c/0x79b021aabcb0e2e6ff3a9a3e3be6788947f4eb8d Get in touch to learn more about benefiting from OpenRank SDK for your reputation use case!
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