CITAQ – Verifying product catalog claims for AI shopping agents

Summary: CITAQ transforms product catalog claims into cryptographically anchored citation graphs, enabling AI shopping agents to access verifiable product facts instead of unverified marketing copy. It provides a provenance trail for each claim, improving data trustworthiness for AI-driven commerce.

What it does

CITAQ converts product catalog claims into machine-verifiable citation graphs and delivers them to AI agents via the Model Context Protocol (MCP). This allows agents to retrieve structured, verified product information with clear provenance.

Who it's for

It is designed for developers building AI shopping agents, e-commerce data infrastructure specialists, and stakeholders focused on trustworthy AI-mediated commerce.

Why it matters

CITAQ addresses the lack of verification in product catalogs, ensuring AI agents base decisions on verified data rather than untrustworthy marketing claims.