OpenRank · interactive mechanism simulation

Onchain and social trust edges (plus pre-trusted seed peers) feed a graph; EigenTrust iterates it to convergence; compute nodes post results under a challenge window; verifier nodes re-execute, attest or slash via EigenLayer restake; attested scores publish to a Base contract that apps and airdrops read. Sybil accounts try to inject fake trust but stay near-zero because they carry no inbound trust from seed peers.
Peer activity onchain + Farcaster edges Seed peers pre-trusted anchors Sybil accounts fake trust edges Trust graph 0 edges · resistance: medium 0 sybil neutralized EigenTrust engine idle eigenvector iteration to converge Verifier nodes re-execute · challenge window EigenLayer restake security Base contract no snapshot yet public score proxy Apps & airdrops feeds · sybil-gated mints
Trust edges processed
0
EigenTrust runs
0
Scores published to Base
0
Sybil accounts neutralized
0
Verifier challenges / slashes
0
Parameters — edit me
60%
1.0/s
70%
0.8/s
20%
Controls

Illustrative simulation. Defaults mirror the researched OpenRank mechanism (EigenTrust over onchain + social trust graphs, seed-peer anchoring, verifiable compute with a challenge window, EigenLayer-restaked verifier slashing, and score publishing to a Base contract), but edge counts, timing and dishonest-operator odds are randomized for visualization — not live onchain data. Drag the sliders to explore how sybil resistance and verification respond. Part of The Onchain Experiment Atlas.