ZooData is an agent-native data layer purpose-built for AI commerce agents. Unlike legacy data providers that deliver raw HTML snapshots or human dashboards, ZooData provides clean, structured JSON intelligence that LLMs can consume directly. The platform tracks over 500 million products across Amazon and TikTok Shop, offering real-time pricing, inventory, sales rank, and competitor intelligence with 2+ years of historical depth.
What makes ZooData unique is its 4C Advantage: Clean JSON responses that reduce LLM parsing costs by up to 80%, live and historical data spanning multiple years, AI-extracted insights pre-processed for agent consumption, and an e-commerce native architecture optimized for autonomous workflows rather than human browsing. The platform supports OpenAPI 3.0 specification, enabling one-click integration into LangChain, CrewAI, AutoGen, and Claude MCP frameworks.
Core Features
- Clean JSON API - Structured responses ready for immediate LLM consumption without nested HTML parsing
- 500M+ Product Database - Comprehensive coverage across Amazon and TikTok Shop with 40+ advanced filters
- Real-time Market Data - Live pricing, inventory levels, and Best Seller Rank updates with 15-minute freshness tiers
- Historical Intelligence - 2+ years of BSR, price, and sales history for trend analysis and forecasting
- Competitor Analysis - Multi-dimensional lookup by brand, ASIN, seller, and keyword positioning
- Fashion Tag Extraction - Specialized image-to-structured-attributes model that eliminates vision API costs
- Pre-built Agent Skills - Plug-and-play modules for market validation, product selection, competitor analysis, and pricing strategy
- Framework Integrations - Native support for LangChain, CrewAI, AutoGen, and Claude MCP via OpenAPI 3.0
Use Cases
ZooData powers autonomous product research agents that can scan thousands of market opportunities daily rather than the manual hundreds. It enables continuous competitor monitoring with 24/7 price change alerts and stock level tracking. Multi-agent orchestration becomes possible when selection agents, pricing agents, and listing agents share the same structured data source. For affiliate marketers, the platform provides the data depth needed to review hundreds of competitor pages and ads, delivering the 200-page advantage that manual research cannot achieve. Supply chain teams use it to monitor availability and pricing shifts across competitor catalogs in real-time.
Pricing
ZooData uses an agent-era pricing model based on API consumption rather than per-seat licenses. Since agents run 24/7 at volumes 100x human usage, the platform charges per API call with volume-based discounts. All endpoints share unified pricing, with higher volumes receiving lower unit costs. There are no hidden fees, no seat limits, and no arbitrary caps. A single agent running 10,000 queries daily has predictable costs compared to traditional SaaS that would require 10 seats plus legacy infrastructure at $1,000+ monthly. Custom enterprise pricing is available for large-scale implementations.
How to Access
Get started with ZooData by visiting the official website at zoodata.ai. New users can sign up for an API key and make their first structured data call within minutes using the provided curl examples and Python SDK. The platform offers pre-built Skills via the Skills CLI for rapid integration into existing agent frameworks.
