How we build the data.

What we cover.

Amazon US and Amazon UK. Both marketplaces are scraped on the same daily cadence from our own infrastructure. More marketplaces are scoped on request.

How fresh the data is.

Daily refresh on the active catalog. The Amazon BSR top-1M list is crawled continuously through each day, so coverage stays current without hammering the platform in bursts.

Continuous crawl — not real-time. We respect the platforms we monitor, which means pacing, rate limits, and capacity that's engineered to be invisible rather than abusive.

How far back we see.

2+ years of daily offer history — the raw material for brand-movement and seller-movement analysis. 16 months of rolling buybox history are surfaced in-app, per ASIN, so buybox allocation patterns are legible without custom work.

What we intentionally leave out.

We skip several BSR categories on purpose: Books, Kindle, Audible, Movies, Music, Apps, and Magazines. These categories don't match the buyer segments we serve, and excluding them keeps brand attribution tight across the catalog we do cover.

Where the data comes from.

We monitor publicly available catalog pages. We respect rate limits and platform policies, and we don't touch Amazon SP-API unless a customer explicitly enrolls their own Amazon Brand Registry credentials for buybox monitoring. There is no shared account, no resold feed, and no access to anyone else's authenticated session.

Our work complements Amazon Brand Registry and Project Zero — enterprise buyers routinely layer our cross-brand intelligence on top of those programmes rather than treat them as alternatives.

Where we fit in your stack.

We're the Amazon-specific cross-brand intelligence layer that feeds your enforcement stack — Red Points, MarqVision, Pattern, or in-house. We don't replace it. The value we add is the cross-brand seller graph those tools architecturally can't build, delivered into whatever workflow you already run.