We built APIClaw because AI agents were starving for clean Amazon data
Most Amazon data APIs were built for humans — dashboards, spreadsheets, browser extensions. When you try to feed that data to an AI agent, you hit a wall fast. Raw HTML, inconsistent field names, deeply nested JSON. Your agent spends 80% of its tokens just parsing the response instead of reasoning about it.
We built APIClaw to fix that. One API, clean structured JSON, optimized for LLM tool-calling. 200M+ products, 1B+ reviews, real-time BSR and pricing signals — all designed to be consumed directly by agents without any preprocessing overhead.
The result: a human researcher reviews maybe 100 products per day. An agent with APIClaw can process 10,000+.
We also shipped 10 plug-and-play agent skills for OpenClaw covering market research, competitor intelligence, pricing analysis, listing audits, and daily monitoring. 1,000 free credits on signup, no credit card required.
Would love to hear from anyone building commerce agents or Amazon seller tools — happy to answer questions.
