Home / Solutions / Price comparison & deal sites
Power a comparison site without running a collection team
Comparison sites live and die on two things: whether the products are actually the same, and whether the discounts are real. Both are matching-and-history problems, not front-end problems.
Price comparison & deal sites
Discounts you can defend in public
“40% off” against an inflated reference is the claim that gets comparison sites into trouble. Percentile against a product's own history is a defensible statement about the same product at the same seller.
Price comparison & deal sites
Matching you can show
Every product page can display how its offers were matched and how confident that is. It is a trust signal, and it costs nothing because the number already exists.
Endpoints that do this
Where it lands in the API.
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.
Compare
One product across every seller that carries it, ranked by landed cost, with the spread. Server-side work is worth more than four raw reads the caller has to join.
Price context
Is this actually a good price? Percentile against the product's own history at that seller, time-weighted, with low, median and high.
Questions
Common questions.
How many products are in the index?
The index is built from published catalogues rather than a fixed list, and coverage is reported per seller with median record age rather than as a single headline count.