Ferox Data curates the most up-to-date feed of product, pricing, and Buy Box data across every major digital marketplace. Receive updates and be the first to know when the data you care about changes.
Built for the world's commerce data teams
What you can pull
Product, offer, review, and search data across Amazon, Walmart, Target, and eBay. One API surface, one schema, unified credits.
product detail · price history · buy box
Full product pages, historical pricing time-series, and current Buy Box state with seller, price, and fulfillment across all four marketplaces.
Explore schema →offer stack · buy box history · seller profile
Every seller competing on a listing. Price, condition, fulfillment, position. Plus seller profiles, storefronts, and Buy Box ownership over time.
Explore schema →reviews · rating breakdown · seller reviews
Individual review text, star distributions, helpful counts, verified flags, and per-seller feedback across every marketplace.
Explore schema →search · bestsellers · deals · categories
Keyword search results with organic and sponsored split, bestseller rankings, active deals and coupons, and full category taxonomy.
Explore schema →Who builds with us
Repricers live and die by Buy Box data freshness. Our offer stack returns every seller with landed price, fulfillment, and Prime / WFS eligibility across Amazon and Walmart.
Search rankings, product details, bestseller positions, seller profiles, and deal velocity across Amazon, Walmart, Target, and eBay. One normalized schema your analysts can actually work with.
Track daily title, image, bullet, and description changes across all four retailers with before / after snapshots. Detect unauthorized resellers and hijacked listings before your enforcement team has to ask.
Bulk catalog feeds in compressed JSONL, delivered to your S3, Snowflake, or BigQuery. Plus an MCP server so Claude, GPT, and custom agents query live data. No middleware.
Why Ferox
Time-series price data in 90, 180, or 365-day windows with daily granularity. Hourly Buy Box winner tracking over a rolling 90-day window. Not just who has the box now, but how often it changes and who wins what fraction of the day.
↳ The typical provider gives you a real-time snapshot. No history endpoint exists.
Your credits work across Amazon, Walmart, Target, and eBay. Same schema, same API surface. Your code never branches by marketplace. Add a retailer without adding a new integration.
↳ The typical setup requires separate credits and integrations per marketplace.
Push notifications on Buy Box flips, price changes, and stock changes across every tracked listing. No polling loops, no wasted credits on unchanged data. You get called when something moves.
↳ Polling wastes credits and adds latency. Most providers offer no push delivery at all.
Every endpoint exposed over the Model Context Protocol. Claude, GPT, and your custom agents query live commerce data directly inside your workflow. No scraping middleware, no translation layer between your agent and the data.
↳ Most commerce APIs were built for REST clients, not agents. Ours was built for both.
Talk to sales
A 30-minute call with a founder. We show what we return across Amazon, Walmart, Target, eBay, and other marketplaces, you show what you need, we tell you honestly whether we're the fit. Enterprise pricing, custom volumes, and pilot terms discussed on the call.