APIClaw is a business intelligence API for AI agents, officially positioned as "the data layer for AI agents," emphasizing clean web content, business intelligence that can be used directly for decision-making, and "integrate once, not five times" and "signals, not noise."
Use cases APIClaw is suitable for embedding business intelligence capabilities into AI agent workflows. The officially listed scenarios include: autonomous product research (letting agents scan 10,000 opportunities daily instead of 100 manually), continuous competitor monitoring (7×24-hour monitoring, with price changes notified within seconds), multi-agent orchestration (product selection agents, pricing agents, and listing agents working together), real-time market signals (current trends rather than last year's sales), supply chain alerts (monitoring competitor inventory levels, price changes, and availability), and listing automation (an automated pipeline from discovery to listing).
Main capabilities APIClaw provides multiple data modules optimized for agents:
- Category market analysis: category-level signals include demand trends, competition density, and profit benchmarks, updated daily, with a complete category picture available in a single call.
- 500M+ product tracking: agents can query more than 500 million tracked products across Amazon and TikTok Shop, supporting 40+ filters and returning structured, token-efficient intelligence suitable for thousands of results and batch processing.
- Competitor queries: supports discovering competitors by any dimension such as brand, ASIN, seller, and keywords.
- Real-time data: real-time prices, inventory, and BSR, with no caching and no delay.
- Historical data: more than 2 years of BSR, price, sales, and rating history, supporting time-series analysis and early trend identification.
- Image-to-structured-attributes: converts images into structured attributes. Officially stated to skip GPT-4V by using its dedicated model to save on vision model costs.
Agent-native design Officially emphasized as built from first principles for agent tool invocation: returns clean JSON, structured data can be consumed directly, reducing LLM parsing costs by 80%; provides OpenAPI 3.0 specifications that can be imported into LangChain, CrewAI, AutoGen, and Claude MCP with one click; provides preprocessed insights, with sentiment, keywords, and attributes already extracted officially, so users no longer need to do NLP; provides real-time signals rather than yesterday's reports.
Prebuilt skills APIClaw packages years of e-commerce intelligence experience into plug-and-play agent skills. ZooData Analysis Skill is an e-commerce intelligence andAnalysis skills, including: market validation (market validation), product selection (14 preset modes), competitive analysis (competitive landscape), risk assessment (6-dimensional risk matrix), pricing strategy (price band analysis), daily operations (market monitoring). Can be installed via the Skills CLI.
How to use How to use The official quick start path is: register and obtain an API key and Bearer token; choose any endpoint to send a POST request with a JSON body; receive a structured JSON response that agents can use. The official statement is that it takes about 5 minutes from zero to the first API call, and the V2 endpoints are optimized for AI agents. In addition, the Web Console can be used for manual research. In terms of pricing, APIClaw uses pay-per-API-call billing, with unified pricing for all APIs; the higher the call volume, the lower the unit price, with no hidden fees and no seat limits. Official example: an agent running 10,000 queries per day has predictable costs, whereas a traditional solution would require 10 seats plus traditional data infrastructure, exceeding $1,000 per month. To get started, you can receive 1,000 credits for free, with no credit card required.
Limitations and not yet provided The official text does not provide specific price figures, the conversion relationship between credits and call volume, detailed documentation for each API endpoint, details of the category scope covered by the data, precise indicators for SLA or data update latency, or the range of supported countries or sites. The above content is not yet provided.
