A Keepa API alternative for when the token math stops working.
Keepa is the gold standard for deep price history — and everyone who's used its API at volume knows the other side: token budgets, expensive offer-history calls, timeouts that need retry logic, and bulk jobs that take half a day. If what you actually need is product search, current data, offers, and enough history to see the trend, we serve all of it on flat credits at ~150ms, with no token spreadsheet. Try the live demo.
Side-by-side comparison.
| WDES | Keepa API | |
|---|---|---|
| Pricing model | Flat credits, published costs | Token buckets — costs vary per call type |
| Ranked keyword search | Yes — grouped, tiered, faceted, ~150ms | Product Finder — criteria filters, no ranked answers |
| Price / BSR history depth | Up to ~2 years | 5+ years — unbeaten |
| Offer history cost | Flat +50% history add-on | Scales per offer — expensive on crowded ASINs |
| Bulk throughput | Warehouse reads — thousands of ASINs, minutes | Token-limited — 10k ASINs can take 10+ hours |
| Seller identity on offers | Seller name + ID, FBA/FBM, ratings | Yes, within token limits |
| Walmart data | Yes, same API and schema | No |
| Catalog breadth | 3.5M+ best-selling products | Billions of products — far broader |
Being honest about the trade: if you need 5+ years of price-history charts or coverage of Amazon's entire catalog, Keepa is the right tool and we'll say so. We exist for the search-first, current-data, bulk-read use cases where token economics and latency make Keepa the wrong shape.
The pain points that bring people here.
- Token budgeting as a second job Different calls drain different token counts, refill rates gate your throughput, and offer-history calls on crowded ASINs cost multiples. Planning a bulk job means spreadsheet math before any code. Our credits are flat: a lookup is a lookup, offers cost one credit, history is a published +50%.
- Bulk jobs that run half a day Users report 10k-ASIN pulls taking 10+ hours on standard plans, with timeout-and-retry logic as standard equipment. Our records are warehouse reads: bulk queries return in minutes, and search returns in ~150ms.
- No ranked search answers Product Finder filters a database; it doesn't rank or group. "Best electric toothbrush under $50" needs post-processing on your side. Our search endpoint returns merchandised shortlists — grouped by category or price tier, accessories filtered, brand facets attached.
- Amazon only Cross-marketplace work means a second provider with a second schema. We serve amazon.com, amazon.co.uk, and walmart.com from one API — with 10 more Amazon marketplaces shortly available.
Price out your current Keepa workload.
Tell us your monthly call mix — lookups, searches, offer pulls, history depth — and we'll show you what it costs in flat credits, with no token math anywhere.
Request a test key