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Commerce intelligence for toys and games

Toys compress a year of commerce into eight weeks. Pricing is stable for ten months and then violently unstable, exclusives fragment identity across sellers, and scarcity invites resale far above list.

8 weeks of the yearPeakResale above listRiskRetailer exclusivesFragmentation

Toys & games

Exclusives are separate products

A retailer-exclusive variant is not the base product. Treating it as one produces a spread that looks like an arbitrage and is actually two different items.

Toys & games

Scarcity pricing

When marketplace offers run far above a product's own history, that is a detectable state rather than a judgement call — a percentile in the high nineties against its own record.

Endpoints that do this

Where it lands in the API.

GET /v1/products/{id}/context

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.

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

Offers

Every live offer for a product, with seller identity, landed cost, condition and the provenance of each value.

→ reference
GET /v1/events

Events

Six event types, signed on delivery and replayable by cursor. Every consumer eventually needs to backfill a gap.

→ reference

Questions

Common questions.

Does it flag resale above list?

An offer far above the product's own historical distribution reads as poor on the percentile scale, with the seller identity attached so the pattern is attributable.