◈ Verifiable risk oracle · Robinhood Chain

Risk scores for tokenized stocks —
with a proof attached.

Chainlink puts the price on-chain. ProofRWA puts the risk judgment on-chain — cryptographically proven to come from a named model running on real market data. Not a number you have to trust.

Explore live attestations → How it works
—
assets attested
—
to prove one score
1 click
to re-verify on-chain

The problem

Tokenized stocks are collateral now. The risk numbers behind them aren't verifiable.

Lending markets, vaults, and AI trading agents all need to know how risky NVDA is right now — how much to safely lend against it, how much to hold. Today those numbers come out of someone's private model or spreadsheet. You trust the provider, or you don't use the number. If it's wrong or quietly tweaked, depositors are the ones who find out.

How it works

Four steps from market data to a number a contract can trust.

  1. 01

    Real market data

    Chainlink price history, Uniswap depth, and each token's corporate-action state are read live and committed to a snapshot root on-chain.

  2. 02

    Risk model

    A small, deterministic ML model scores the asset from 30 features. Small by design — it has to be cheap enough to prove.

  3. 03

    Zero-knowledge proof the core

    A proof certifies the score came from this exact model on that exact data. Change either one and the proof fails to verify.

  4. 04

    On-chain & verifiable

    A contract checks the proof before accepting the score. Any app reads it in three lines of Solidity; anyone re-verifies it in one click.

Live on Robinhood Chain testnet

Every score here is a real on-chain attestation — read straight from the RiskOracle in your browser.

reading chain…
Open the app to verify any of them →

Proof, not promises

Other AI risk feeds you trust the provider
ProofRWA you verify the computation

Same output — a risk score, an LTV — but one comes with a receipt the chain checks itself. A bad model can't hide behind "trust me," and a good one doesn't have to.

Who reads a proof

Three consumers, one attestation.

Lending markets

Read maxLTV for a stock token and know it was honestly computed — without re-running any model.

→ live example contract
AI trading agents

Prove every rebalance stayed inside its mandate — without revealing the positions. The thing a "trust me" feed can't offer.

flagship
Depositors

See a green trail of in-bounds proofs for the agent holding your money — not a promise on a marketing page.

Every AI financial decision
comes with a proof.

Launch the app →