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AIAI CommerceMCPAI Agents

Build a catalog that speaks natively to AI systems, agents, and MCP clients.

The next commerce layer isn't a search results page — it's an AI agent making purchase recommendations. FeedGraph prepares your catalog for this shift: the FGTP (FeedGraph Trust Protocol) signs your product data with Ed25519 keys, the MCP projection endpoint exposes your catalog to AI tool-calling systems, and the AI Assistant lets you query your catalog in natural language.

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How to

AI-Native Commerce — step by step

01

Enable AI projection

Activate FeedGraph's public AI endpoint. Your catalog is instantly queryable by MCP-compatible AI clients, shopping agents, and any system that speaks the AI commerce protocol.

02

Sign catalog data with FGTP

FGTP generates Ed25519-signed catalog snapshots — a cryptographically verifiable format that lets AI systems confirm they're reading authentic, tamper-proof product data from your brand.

03

Enrich for AI context

AI systems perform better with rich, structured product descriptions. FeedGraph's AI enrichment ensures every product has detailed descriptions, accurate attributes, and complete category data — the context AI agents need to recommend products confidently.

04

Monitor AI channel performance

As AI shopping channels mature, FeedGraph's Advertising overview will surface performance data from AI-driven conversions alongside traditional channel metrics — giving you a complete picture of where revenue comes from.

Ready to try it?

FeedGraph is in early access. Apply to join and we'll onboard you personally — no credit card required.

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