Trust Model & Verification
TODO: Complete Trust & Verification Documentation
How to trust EigenWatch oracle data and verify its integrity.
Required Sections
-
Oracle Trust Assumptions
- Who computes risk scores? (centralized team initially?)
- How is data verified before publishing?
- What are the failure modes?
- How are disputes resolved?
-
Data Verification
- Signature verification (if applicable)
- Multi-signer requirements
- On-chain verification contracts
- Off-chain verification tools
-
Decentralization Roadmap
- Current centralization level
- Path to decentralization
- Planned governance model
- Timeline expectations
-
Security Considerations
- Key management & cold storage
- Compromise scenarios
- Incident response procedures
- Bug bounty program
-
Audits & Reviews
- Smart contract audits
- Computation verification (proof?)
- Third-party oversight
- Public audit reports
-
Transparency & Accountability
- Open-source computation logic
- Published methodologies
- Historical data logs
- Change management process
-
Incentive Alignment
- Why should EigenWatch be honest?
- Economic incentives (if any)
- Reputation at stake
- Insurance/slashing mechanisms
-
Comparison with Other Oracles
- Uniswap TWAP
- Chainlink VRF
- Curve oracle design
- Trade-offs
-
Risk Scenarios
- Corrupted data
- Delayed updates
- Divergence from truth
- Mitigations for each
User Guidance
- How to evaluate oracle trustworthiness
- When to use on-chain vs off-chain data
- Fallback strategies for critical applications
- Due diligence checklist
Related
Status: NOT STARTED — Requires governance & trust model design