Brand-universe intelligence, built on two years of daily Amazon data.
We've been scraping Amazon's BSR top-1M products every day since April 2024. 1.56 million unique ASINs. 16 months of buybox seller history. 10 million products in the master catalog with 99.2% brand attribution.
What you can do with it that per-ASIN tools can't: identify professional arbitrage operators running across hundreds of brands at once, score brand integrity across the entire marketplace, quantify revenue at risk from unauthorized sellers — at a cross-brand scale no single-product tool reaches.
Four ways to use the dataset.
Every engagement is scoped to the brands monitored, the analytical depth, and the delivery cadence. Pricing is custom — no public tiers.
See the operators hitting your brand and hundreds like it.
The cross-brand seller graph nobody else builds. We've mapped a single professional operator winning the buybox across 1,972 distinct brands; another across 167 brands including direct overlap with enterprise clients' managed portfolios.
- — Seller-across-brands pattern detection
- — Prospect lists for brand-protection pipelines
- — Network overlap alerts with managed-brand portfolios
Per-brand scoring across 16 months of buybox history.
Brand Control Score, unauthorized seller density, MAP violation forensics, buybox stability trend. Calibrated against a master catalog of 10M+ ASINs with 99.2% brand attribution.
- — 16-month buybox seller history per ASIN
- — MAP violation detection with 29-month price backdrop
- — Category benchmarks against comparable brands
Channel health diligence and multi-seller buybox evidence.
For consumer PE deal teams: Amazon channel health packs with buybox win-rate, hijacker density, and cross-brand operator exposure. For litigation: daily multi-seller offer data showing buybox allocation patterns.
- — Acquisition diligence pack per target brand
- — UK Buy Box class action evidence support
- — Project-based, scoped per engagement
Find the next brands to add to your catalog.
For multi-brand distributors and Amazon agencies: give us your top-selling brands, get a ranked list of adjacent brands worth adding — scored on demand, competition depth, buybox fragmentation, and fit with your fulfillment model. Built on the same 2-year brand-universe we use for protection work, flipped to the seller side.
- — Portfolio-level adjacency recommendations (not per-ASIN research)
- — Low-competition brand flags from seller-count and buybox data
- — Agency edition: "which brands should we pitch next" + deal-pipeline intel
A scrape nobody else is running at this depth.
Every day since April 2024, we walk Amazon's BSR top-1M list and capture product, buybox, and all-seller offer data on our own infrastructure. No resold feeds. No per-ASIN lookups. No access to any client's authenticated session.
That's the shape that makes cross-brand seller graphs possible. Per-ASIN tools can tell you who's on a listing. Our data tells you which networks those sellers operate in — and which of your brands they're going to show up in next.
See the dataset, scoped to a brand you care about.
Tell us what you're working on. We'll send a scoped quote within 48 hours, and typically include a one-brand sample analysis so you can see the data shape before committing.