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Commerce intelligence for sporting goods and outdoor

Outdoor retail runs on a seasonal clock. The same jacket is full price in September and half price in February, and the interesting question is never the current price but where in the cycle it sits.

Seasonal cycleDriverEnd-of-season markdownSignalHeavy DTC brand presenceTail

Sporting goods & outdoor

Seasonality is the model

Forecast reads the product's own seasonal rhythm and reports whether waiting is likely to pay, with the confidence interval visible instead of a single confident number.

Sporting goods & outdoor

The direct-to-consumer half

A large share of this category sells primarily through brand storefronts. Those publish structured catalogues and are frequently the first place a markdown appears.

Endpoints that do this

Where it lands in the API.

GET /v1/products/{id}/forecast

Forecast

Whether to buy now or wait, from the product's own seasonality and discount rhythm — with the confidence interval shown rather than hidden.

→ 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/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

Questions

Common questions.

Does it cover brand-direct storefronts?

Thousands of them, through their own published catalogue interfaces — often with fresher data than the marketplace listing of the same product.