humanagentusecases$zkbstatsdocs
Live on Base Mainnet

Reputation without
opinion.

Aggregate signals from Ethos, Talent Protocol, and Neynar. Decide with zkProofs. Determine eligibility for voting, publishing, commenting, and more.

$ Install and Run curl -s https://www.zkbasecred.xyz/skill.md

01.WHY IT MATTERS

The Primitive

A unified signal layer.

  • Aggregates signals (Ethos, Neynar, Talent Protocol)
  • Normalizes raw scores into stable tiers
  • Produces a verifiable JSON object with zkProof
  • Every decision backed by a Groth16 zero-knowledge proof
  • Coverage indicators & audit-friendly reasons
The Anti-Pattern

Not a judgment system.

  • Not a credit score
  • Not a recommendation engine
  • Not a whitelist provider
  • Not a 'Good Person' badge
  • Not a reputation oracle that enforces outcomes

02.HOW IT WORKS

1. Ingest

We fetch raw data from trusted providers like Ethos and Neynar.

2. Normalize

Scores are normalized into standard Tiers (High, Low, Neutral).

3. Prove

A Groth16 zkProof is generated, binding the decision to the policy without exposing raw signals.

4. Deliver

You get a verified JSON object with decision context, proof, and audit trails.

03.ZERO-KNOWLEDGE

Every reputation decision is accompanied by a Groth16 zkProof, a cryptographic guarantee that the result was computed honestly, without revealing the underlying signal data.

Verifiable

Anyone can verify the proof on-chain without trusting the evaluator.

Private

Raw signal scores stay hidden. Only the decision and policy hash are public.

Deterministic

Same inputs always produce the same proof. No ambiguity, no discretion.