As decentralized ecosystems scale, one of the most difficult challenges is maintaining trust without sacrificing permissionlessness. From DAO governance to contributor rewards, Sybil attacks and shallow engagement degrade network quality.
This proposal introduces a new paradigm: a modular, AI-native Identity and Reputation Oracle — built directly into the Metis stack — that uses off-chain and on-chain behavioral signals to provide dynamic, non-transferable reputation scores for wallets, developers, voters, and contributors.
What Makes It Unique
Unlike typical on-chain reputation systems that rely only on wallet history or token balance, this oracle would leverage AI models to interpret:
- Forum discussion quality and depth
- Consistency in voting and proposal alignment
- Smart contract contribution patterns
- Wallet interaction patterns over time (e.g. DeFi use, DAO engagement, grants received)
- GitHub commits, pull requests, or code reviews tied to verified addresses
This fusion of behavioral analytics and AI models would allow Metis to develop reputation-aware protocols that remain open, but trust-weighted.
Key Components of the System
- AI-Powered Signal Aggregator
Ingests off-chain data (discussions, governance forums, GitHub) and on-chain data (wallet behavior, transaction networks) to form a unified reputation score per wallet. - Reputation Oracle Contracts
Smart contracts that can be queried by DAOs or dApps to receive a verifiable, permissionless reputation summary for any address — for governance weighting, airdrop eligibility, or access control. - Dynamic Scoring Model
AI models dynamically adapt scores over time based on positive or negative participation, not fixed achievements. This prevents farming, manipulation, and reputation decay due to inactivity. - Privacy-Preserving Options
Users could opt in to use ZK-based proofs of reputation without disclosing full identity — enabling use cases like trustless job markets or private DAO membership.
Potential Use Cases
- Sybil-resistant governance: Token voting weighted by behavior-aware trust scores
- Grant distribution: Higher reputation unlocks access to larger grant pools
- DAO contributor filtering: DAOs can filter members or proposals by verified participation level
- DeFi protocol rewards: More reliable LPs or stakers get bonus yield multipliers
- Credential-less hiring or bounty boards: Select contributors based on proof of on-chain skill and activity
Why This Fits Metis
- Strengthens on-chain identity without introducing centralized KYC
- Bridges AI + modular rollup stack into a practical utility layer
- Helps DAOs and protocols automate trust decisions without human bottlenecks
- Positions Metis as a network where trust is earned through meaningful, traceable contribution
Metis has an opportunity to pioneer trust infrastructure for the modular, AI-native internet — not by verifying identity, but by recognizing value-driven behavior. This could be the next foundational layer in decentralized coordination.