ZooData

ZooData is a data layer for AI agents that need commerce intelligence, not raw web scraping. It serves real-time product signals plus 2+ years of historical metrics, formatted as clean JSON so your agent can use the results directly.

It’s for teams building autonomous product research, competitor monitoring, pricing insights, and other agent workflows that call APIs continuously. If your current approach involves parsing HTML, working from outdated reports, or stitching together multiple data sources, ZooData is built to be one agent-native interface.

• Live product data: current price, inventory, and BSR without waiting on cached reports
• Historical product history: 2+ years of BSR, price, sales, and rating history for trend spotting
• Category market analysis: demand trends, competition density, and margin benchmarks updated on a daily cadence
• Competitor lookup: multi-dimensional discovery by brand, ASIN, seller, and keyword
• Agent-ready outputs: clean JSON designed to reduce parsing work in LLM workflows
• Pre-processed insights: extracted attributes and signals so you can skip extra NLP steps

What sets it apart is the focus on agent tool-calling and structured responses. Instead of returning raw HTML that you parse yourself, it provides endpoint outputs that are already structured for immediate use in agent frameworks.