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Retail Market Research Data
Pricing as a leading indicator of what a category is about to do.
Discount depth and stockout frequency move before reported revenue does. They are observable weekly, in public, for every seller that lists online.
Market research
Three series that lead
How deeply a seller is discounting, how often it is out of stock, and how quickly its assortment is turning over. Each is computable from an append-only record without asking the seller anything.
Market research
The series, however you want to read it
Take the export and model it yourself, or have the dashboard framed around your questions rather than someone else’s. What matters is that the underlying series comes with it — a view you cannot get behind is a set of decisions already made on your behalf.
Endpoints that do this
Where it lands in the API.
Bulk export
The whole index, or your slice of it, as newline-delimited JSON or Parquet. Analysts should not paginate through an API to build a model.
History
The observation series. Append-only — nothing is ever updated, so a replay reconstructs exactly what you were told and when.
Seller directory
Every seller in the index, with how it is accessed, refresh cadence, identity strength and coverage. Coverage you can audit rather than take on faith.
Questions
Common questions.
How far back does history go?
History begins when collection begins for a given listing — it cannot be backfilled, which is precisely why it is the durable asset. Coverage age is reported per seller.