11. RandProofCompute: Off-Chain Computation with On-Chain Verification

[Layer 1: Core, Design Stage]

RandProofCompute extends the keeper network to support off-chain computation with on-chain verifiable results. This is the compute layer where AI agents (Tier 2: Compute Agents) execute complex tasks and submit verifiable proofs.

Use Cases:

• AI agent task execution with verifiable output hashes

• Complex weighted randomness algorithms

• DeFi risk calculations

• DAO proposal impact modeling

• Cross-chain state aggregation

• Clinical trial data validation

• AGENT5050 autonomous raffle management (end-to-end)

• Compliance report generation from on-chain RandProof artifacts

Compute Agent Workflow:

Client submits ComputeRequest(taskType, inputHash, fee) on-chain

Compute agents detect the request and execute the computation off-chain

Agent submits ComputeResult(outputHash, proof, agentId) on-chain

Contract verifies the proof (task-dependent verification)

24-hour challenge window: other agents can submit alternative results

If no challenge or consensus reached: result is finalized, agent earns fee

Compute agent earnings: 5-15% of compute task fee

Compute Agent Staking:

• Optional: compute agents can stake to boost reputation; higher reputation increases the probability of being selected for high-value tasks

• Slashing: agents that submit provably incorrect computation results are slashed 100% and banned

• Minimum stake for compute agents: $50 in any supported asset