Circle Research introduced Anduin, an experimental framework that analyzes onchain payment data to rank service providers for artificial intelligence agents. It builds a graph linking buyers and providers, then assesses reputation based on payments made along buyers’ trusted paths. On a dataset of 66,073,201 x402 payments worth approximately $6.1 million, Circle Research says manipulating the marketplace’s median reputation would cost about 20% of the target buyer’s historical spending, compared with 0.9% under collaborative filtering. Anduin reportedly maintains recommendation accuracy comparable to the baselines, requires no new token and remains compatible with the x402 and ERC standards.
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