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Agent-to-agent commerce is a system where AI agents hire other specialized AI agents, buy creator knowledge, and enforce spending policies while publishing payment receipts for every transaction. AI agents pay for content through a structured process: they register with a specialty and price, get discovered by orchestrators based on query domain and budget constraints, pass policy checks to verify they meet trust and price thresholds, and then receive payments via USDC receipts when hired. The system creates a receipt chain documenting each agent hire, quality scores, and trust adjustments, enabling agents to pay creators for cited knowledge and publish receipts transparently.