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 under 100ms, with no token spreadsheet. Try the live demo.
Try it. Watch the response time.
Side-by-side comparison.
| Logimu | Keepa API | |
|---|---|---|
| Pricing model | Flat credits, published costs | Token buckets — costs vary per call type |
| Ranked keyword search | Yes — grouped, tiered, faceted, under 100ms | 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 | 4M+ 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 under 100ms.
- 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, amazon.de, amazon.ca, amazon.com.au, and walmart.com from one API — with more Amazon marketplaces shortly.
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.
Get 2,500 free credits