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Commerce intelligence for auto parts
Auto parts is a fitment problem before it is a price problem. A part number that fits three model years and not a fourth is a different product, and matching that ignores fitment produces confidently wrong comparisons.
Auto parts
Fitment as identity
Manufacturer part numbers carry fitment metadata as attributes, so a comparison never crosses a fitment boundary just because two titles look similar.
Auto parts
OEM and aftermarket stay apart
These are different markets at different price points. They are matched to separate canonical products rather than pooled into a single misleading spread.
Endpoints that do this
Where it lands in the API.
Bulk match
Send up to 10,000 of your own rows and get canonical ids back, each with a method and a confidence — including the ones we refuse to guess at.
Resolve
GTIN, UPC, EAN, ASIN, seller SKU, product link or plain language into one canonical product and every listing that carries it.
Offers
Every live offer for a product, with seller identity, landed cost, condition and the provenance of each value.
Questions
Common questions.
How are ambiguous part matches handled?
Flagged rather than guessed. Bulk match returns review: true on anything below the trust threshold, because a false positive here sells someone the wrong part.