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Commerce intelligence for fashion and apparel

Apparel has almost no GTIN coverage, enormous variant counts, and a markdown calendar that matters more than any single price. It is the category where matching on identifiers fails and matching on brand, style and colourway has to work.

Brand + style + colourwayIdentityOften 30+ per productVariantsMarkdown cadenceSignal

Fashion & apparel

Variants are the unit

A single product may carry forty size-and-colour variants, each with its own price and stock. Variants are first-class records, so a size-eleven stockout does not read as the product going out of stock.

Fashion & apparel

Markdown rhythm

Full price, first markdown, second markdown, clearance. Time-weighted history exposes that rhythm per brand, which is how a buyer decides whether to wait a fortnight.

Fashion & apparel

Brand storefronts, not just marketplaces

Thousands of direct-to-consumer storefronts publish structured catalogues that never appear on a marketplace at all. That long tail is where new brands price-test before they scale.

Endpoints that do this

Where it lands in the API.

GET /v1/search

Search commerce

Keyword and structured search across every connected seller. Returns canonical products with live offers, spread and a verdict — not raw listings you have to deduplicate yourself.

→ reference
GET /v1/products/{id}/history

History

The observation series. Append-only — nothing is ever updated, so a replay reconstructs exactly what you were told and when.

→ reference
GET /v1/products/{id}

Product

The canonical record: identity, attributes, taxonomy, media, and every variant.

→ reference

Questions

Common questions.

How is matching done without a GTIN?

Brand plus normalised title plus attributes, with the resulting confidence published on every match. Anything below the trust threshold is flagged for review rather than silently accepted.