Zero-Knowledge Verification
SolStats MCP is designed to operate not only as an analytics engine, but as a cryptographic proof generator for wallet intelligence. Using zero-knowledge proofs (ZKPs), SolStats will enable users and protocols to verify wallet-derived statements—without revealing raw transactional data.
Why Zero-Knowledge?
In a world where analytics are increasingly integrated into decision-making (airdrop eligibility, DeFi access, DAO voting, credit scoring) privacy must remain a first-class feature. Zero-knowledge enables:
Selective Disclosure: Prove facts about wallet behavior (e.g., "this wallet has traded >100 SOL") without revealing specific tokens or transactions.
AI Integrity Guarantees: Demonstrate that an AI-generated insight is based on real, on-chain activity without exposing underlying data.
Sybil Resistance with Privacy: Enable identity or behavioral clustering while keeping wallet-level data private.
The Role of MCP
The Model Context Protocol (MCP) defines standardized payloads for AI models interacting with on-chain data. ZK fits into MCP by introducing verifiability at the context level.
For example:
The insight payload includes a proof that the values were derived from public blockchain data via a deterministic pipeline, verifiable off-chain or on-chain.
Implementation Plans
While full ZK integration is still under research, SolStats will experiment with the following:
Groth16 / PLONK circuits for proof-of-analytics
Noir or Halo2-based pipelines to encode metrics as ZK-friendly programs
Off-chain proving, on-chain verification contracts for scalable deployment
Use Cases
Airdrop eligibility proofs: "Has this wallet traded 5+ tokens on DEXs in Q2?"
Credit scoring attestations: "Is this wallet in the top decile of activity among Solana users?"
Model audit trails: "Can this wallet insight be independently verified using cryptographic proof?"
SolStats aims to establish a new primitive in crypto-native intelligence: verifiable analytics. By aligning AI systems with zero-knowledge guarantees, we’re creating a foundation for private, provable reasoning on-chain.
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