Trustless Hashrate Oracle (Hashrate Coin)
Summary
- Problem: Bring PoW hashrate data on-chain in a trust-minimized way for use in contracts (e.g., hashrate-pegged assets).
- When to use: Tokenizing hashrate exposure, protocol parameters tied to external hashrate, or products referencing mining difficulty.
- Category: Oracles
- Status: WIP
Canonical Code & Tests
- Upstream
- Commit(s)
- Add pinned SHAs once merged and stabilized.
Security & Correctness Notes
- Assumptions
- Data is derived from publicly verifiable chain state (e.g., difficulty/headers) or from a verifiable aggregation scheme.
- Adversaries cannot profitably forge the reported hashrate under the adopted derivation/verification model.
- Known limitations
- Windowing/averaging choices affect responsiveness vs. noise resilience.
- If using off-chain aggregation, must define slashing/penalties for incorrect submissions.
- Test coverage
- WIP upstream tests; ensure negative cases (malformed submissions, stale data) are covered before marking stable.
Off-chain Integration
- Required flows
- If pure on-chain derivation: specify extraction from headers/difficulty and validation window.
- If reporter-based: define commit–reveal/aggregation and dispute windows; index and track reporter sets.
- SDK/API calls
- Fleet/AppKit: build submissions with required registers; verify aggregation across inputs before signing.
- Data requirements
- Registers for epoch/window metadata, aggregated value, reporter commitments/proofs where applicable.
UI Considerations
- Minimal UI
- Display current hashrate value and window parameters.
- For reporter flows: show participation status, stake (if any), and submission deadlines.
- Edge cases
- Show warnings for stale windows; surface disputes or inconsistent submissions.
MCP Usage
- Provide an oracle “submit/aggregate” builder (stub)
- Inputs: window parameters, reporter data, commitments/reveals.
- Output: transaction enforcing acceptance criteria or aggregating a new round.
- Consumer helper
- Read latest finalized value and validate within policy bounds.
References
See also
Contributor Checklist
Notes
- Carefully document data derivation assumptions; consider including a brief derivation formula and windowing approach once finalized.