End-to-End Flow: DAO Delegation Automation

This section illustrates how a DAO can execute trustless, tokenizable validator delegation using a zk-model deployed through Hubic. Each step is verifiable, monetizable and enforceable on Ethereum.

---

🌀 Phase 1: Metrics Collection

The DAO compiles a dataset of validator metrics such as:

• 30-day uptime,

• Recent slashing incidents,

• Average staking APR,

• MEV activity or commission rates.

→ The dataset is hashed (input_hash) and submitted as part of an inference request.

---

📦 Example Input Payload:

{
  "validators": [
    {"id": "0xA1", "uptime": 0.97, "apr": 5.4, "slashed": false},
    {"id": "0xC2", "uptime": 0.92, "apr": 5.9, "slashed": true}
  ]
}

---

🌀 Phase 2: Model Selection & Dispatch

• DAO references a pre-approved zk-model (model_hash) from the Hubic zkRegistry.

• Validator contract dispatches the task to an executor node.

• Model: Hubic-RWA-StakeOpt v1.2

• RWA Token: StakeOptToken

---

🌀 Phase 3: zk-Inference Execution

• Executor loads the model.

• Runs zk-circuit with DAO-provided input.

• Produces zk-proof, output_hash, proof_hash.

---

🌀 Phase 4: On-Chain Verification

• Verifier contract checks:

  • Model hash matches registry

  • zk-proof is valid

  • Input/output integrity is preserved

• Emits InferenceVerified event:

event InferenceVerified {
  bytes32 model_hash;
  address dao;
  bytes32 input_hash;
  bytes32 output_hash;
  bool success;
}

---

🌀 Phase 5: DAO Stake Reallocation

• DAO smart contract reads verified output (e.g., top 3 validators).

• Triggers capital movement via staking/re-delegation logic.

• Records action in DAO log for governance transparency.

---

🌀 Phase 6: Revenue Settlement

• Model owner receives 60% of the inference fee (e.g., 0.6 HUB).

• If tokenized, the fee is routed to StakeOptToken contract.

• Token holders receive proportional share via payout contract.

---

From input to execution to payout, every action is backed by math, traceable by DAO, and monetizable through RWA logic.