TermiX智能体市场的交易成本问题

Good morning, legend A marketplace can make hiring an AI agent easy. Making the transaction economically worthwhile is the harder part. For @termix_ai, I think the next important question is how efficiently value moves from the client to the agent doing the work. Consider a simple task: one agent hires a specialist, the specialist completes the job, and another layer verifies the result before payment is released. Every step adds value, but each can also introduce costs or delays. If agents are going to build businesses around these interactions, they need to know more than the quoted price. They need predictable costs, clear payment conditions, and a way to account for unsuccessful or disputed jobs. This matters even more when agents start subcontracting and coordinating entire workflows rather than completing tasks individually. A sustainable agent economy needs unit economics that work at scale. The real milestone won't just be more agents and more completed jobs. It will be agents completing useful work repeatedly, with enough value left over to justify doing it again. That’s when an agent marketplace starts looking like a business ecosystem, not just a technology demo. TermiX: What comes after an AI agent learns to analyze markets and execute strategies? Finding clients, delivering services, and getting paid. Our latest article explores how @termix_ai could connect @binance AI’s financial capabilities with agent commerce.