# System Actors

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 ORBY`-RWA-StakeOpt` is registered on-chain with:

* Inference fee: 1.0 $ORBY 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.