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一分鐘完成驗證On-chain sybil cluster detection for Ethos Network profiles across five EVM chains. Next.js, Supabase, Alchemy.
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檢視完整 README ↗On-chain sybil detection for the Ethos Network reputation protocol. Paste a profile, get the wallets and profiles that share its funding history across five EVM chains, with the evidence for every link.
Live: ethos.tools · App: ethos.tools/scanner · Login-free example: a public profile summary
Ethos reputation has real value: vouches, reviews and invitations unlock gated communities and airdrops. So people farm it with wallets they control. Those wallets almost always share on-chain history: the same first funder, transfers between each other, deposits to the same exchange account. The chain is public and unforgeable, so the cluster is findable if you look hard enough. This tool looks hard, and hands an investigator the evidence rather than a verdict.
Partial results are marked degraded and never overwrite a complete scan. Every cap that limits coverage is written into the result.
Next.js 16 · React 19 · TypeScript · Tailwind 4 + shadcn · Supabase (Postgres) · Alchemy · NextAuth (X OAuth) · Vitest · GitHub Actions · Vercel
| If you want to see | Go to |
|---|---|
| The detection pipeline and scoring | lib/cluster-scanner.ts, explained in docs/scoring.md |
| Failure-safe wallet classification (EIP-7702 handling) | lib/wallet-classify.ts with tests/wallet-classify.test.ts |
| Background jobs with server-side saves | app/api/scan/route.ts, lib/scan-runner.ts, lib/db/scan-jobs.ts |
| Persistence rules (degraded guard, edge graph diff) | lib/db/investigations.ts with tests/degraded-guard.test.ts |
| Why things are the way they are | docs/decisions.md |
| How it fits together | docs/architecture.md |
git clone https://github.com/nodexbt/ethos-scanner && cd ethos-scanner
npm install
cp .env.example .env.local # Alchemy, Supabase, X OAuth keys
npm run dev
Database setup and the sign-in requirements are in docs/setup.md. npm test runs the unit tests; CI runs typecheck, lint and tests on every push.
Built for the Ethos team's investigations and opened to Ethos users who are human-verified with a score of 1800 or more.
I designed and own this project: the detection approach, the scoring model, the architecture and the trade-offs in docs/decisions.md. I build with Claude Code as a pair programmer, so much of the implementation was generated to my specification and then reviewed, tested against production data and refined through the problems that only showed up in real scans.
Not yet licensed for reuse. Reading and running it for evaluation is fine; ask before deploying your own copy.