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The Agent Developer as Buyer — Pre-Purchase Verification Behavior in Agent-Originated Commerce

Product.ai's agent-economy pillar rests on the thesis that agents and their developers will hire Product.ai's verified-truth API as the verification layer in agent-originated commerce. The agent-commerce kernel articulates three buyer types (consumer shoppers, AI agents + their developers, merchants/affiliates), with substantively different research methodologies and trust mechanics for each. We have research direction on the consumer (PRJ-56/57/58), no published research on the agent developer, and no methodology in place for studying the agent itself as a calling entity. Specifically: at what false-positive rate does an agent stop calling a verification API? Which Confident No structures earn highest tool-trust scores within the kernel-named Triple Binary Gate (A-4)? How does an agent developer evaluate "trust" in a Truth API differently from how a consumer evaluates trust in a chat verdict? Without this research, the MCP roadmap (Beat 2 / Q3 2026 expansion) is built on inherited assumptions from B2B SaaS playbooks that do not apply to verification-layer products.

STEP 1 — APPLY

Apply: The Agent Developer as Buyer — Pre-Purchase Verification Behavior in Agent-Originated Commerce

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