System Actors
Last updated
Last updated
This use case involves a minimal but powerful set of actors working together through zk-proven logic and smart contract enforcement. Each role contributes to execution, validation, and monetization — enabling the DAO to operate in a fully trustless, composable, and revenue-generating way.
🧠 Actors & Roles:
Actor
Function
DAO Smart Contract
Triggers delegation requests and executes validator reallocation logic post-verification
zk-Model (RWA Asset)
A tokenized model that ranks validators based on uptime, slashing, APR, etc.
Executor
Runs inference off-chain using zk-circuit, returns result + proof
Validator Node
Verifies zk-proof and confirms model-output consistency on-chain
zkRegistry
Holds model metadata, proof format, verifier address, and (optionally) RWA token linkage
RWA Token Contract
Receives the model revenue share and distributes to token holders
💡 Example Tokenized Model:
A model called Hubic-RWA-StakeOpt
is registered on-chain with:
Inference fee: 1.0 HUB per job
Ownership fractionalized via StakeOptToken
(ERC-20)
DAO uses it to rebalance 250K+ ETH across top validators
🔄 Interaction Summary:
DAO issues an inference job with validator performance inputs
zk-model runs off-chain, proof generated
Proof verified on Ethereum
DAO reallocates stake based on result
Model earns revenue, streamed to RWA token holders
Every actor is trustless, programmable, and incentivized. And every model, if tokenized, becomes part of a real economic feedback loop.