Starknet integrates Chance for AI agent transaction verification

Here’s a problem that’s only going to get worse: AI agents are increasingly managing money on behalf of humans, and nobody has a great answer for what happens when an agent goes rogue. Chance, a verification harness built for exactly this scenario, is now live on Starknet, where it checks agent-proposed transactions against user intent before execution and manages funds through escrow wallets. How Chance actually works The verification process follows a three-step pipeline: PROPOSE, VERIFY, SETTLE. An AI agent proposes a transaction, Chance runs the proposal through a separate model that performs intent matching and price checks, and only verified transactions proceed to settlement. The system offers three integration tiers, each with a different trust assumption. Light mode keeps everything self-custodial, meaning you hold your own keys and Chance simply validates. Full mode adds escrow wallets with an on-chain judge component, creating a 2-of-2 multi-party computation (MPC) setup where neither the agent nor the user can unilaterally move funds. RPC mode operates as a proxy simulation layer, useful for developers who want to test agent behavior before deploying real capital. The a...