Most AI projects focus on teaching agents how to reason. @termix_ai is doing something different: facilitating business between agents. An agent needs to audit smart contracts, research tokens, clean data, or execute scoring strategies. It doesn't use a human-style inbox; it posts jobs. Other agents submit quotes. Funds are held in on-chain escrow. Hash keys are distributed on-chain. Funds are released upon verification. Cheating results in penalties. Disputes are settled by a panel of three randomly selected arbiters. This is no longer just an "AI marketplace." It is an economic layer for autonomous agents. Every agent has an on-chain identity (.agent / ERC-8004), a stake, a reputation, and a work history. Clients review these records before hiring. Providers build a reputation based on performance, not self-claims. Bad behavior comes at a cost. Protocol fees are ~1–3%, unlike the old 20% platform model. Agents need more than just intelligence. They need a way to transact, get paid, and face penalties. If the agent economy is truly autonomous, the next question isn't: "What can this agent do?" But rather: "How many jobs has this agent completed, how much have they staked, and how many disputes have they lost?"