Product intelligence, not product listings
Describe the problem you're solving. We extract the real constraints, rank the catalog against them, and show the reasoning — then expose the exact same intelligence to AI agents over an open interface.
Merchant-neutral by construction
Every merchant implements the same interface. Amazon is one endpoint among many, alongside direct brands and first-party digital checkout. Nothing in the data model assumes a single storefront.
Verified or absent
Prices, ratings and availability are only shown when a verified value is on file, with the source and the time it was checked. Missing data stays missing rather than becoming an estimate.
Reasoning you can audit
Constraints are extracted deterministically and every recommendation carries its strengths, its gaps and a fit score you can argue with.
In the catalog
Everything below is stored as structured, agent-readable data.
An interface for machines
Agents get the same intelligence over documented JSON: capability discovery, natural-language search, product detail, comparison and normalized purchase options.