ZooData
ZooData is an agent-native data layer that provides clean, pre-processed e-commerce intelligence (live and historical) via an OpenAPI-first API for powering AI agents and multi-agent workflows.
ZooData is ai tools software teams evaluate for education & research. Use this page to review pricing, integration signals, and the best alternatives before you commit.
Quick Overview
Best for: Education & Research
What it does
AI Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
Education & Research
Pricing snapshot
Freemium from Unified per-call pricing; higher volume receives lower unit price (exact rates not listed on the page).
Next step
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ZooData
ZooData is a purpose-built, agent-native data layer that delivers clean JSON, live signals and 2+ years of historical e-commerce data optimized for AI agents. It is intended for autonomous research, multi-agent orchestration, and production agent workflows in e-commerce, offering structured, pre-processed insights (sentiment, keywords, attributes) so agents can consume data without heavy parsing. ZooData exposes an OpenAPI 3.0-first API and a Web Console, with examples and SDK/CLI integrations aimed at developer and agent-centric integration.
The data layer for AI agents Discussion | Link
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Claim this listingKey Features
Clean JSON, Agent-ready
Structured, pre-processed JSON responses designed for LLM/agent consumption to reduce NLP/ parsing costs.
Live & Historical Data
Real-time signals (live price, inventory, BSR) plus 2+ years of historical BSR, price, sales, and rating history for time-series analysis.
AI-extracted Insights
Pre-processed insights including sentiment, keywords, and attributes extracted by ZooData so you can skip additional NLP steps.
OpenAPI 3.0 / Agent Integrations
OpenAPI 3.0 spec for one-click import into agent frameworks such as LangChain, CrewAI, AutoGen, and Claude MCP.
Agent-Native Design
Designed from first principles for agent tool-calling with token-efficient responses and agent-focused endpoints.
Large Coverage
500M+ products tracked across Amazon and TikTok Shop with 40+ filters for broad product and market coverage.
Real-time Market Signals
High-frequency freshness tiers (15 min / 30 min / daily / weekly depending on data type) for near real-time monitoring.
Fashion Tags (Image → Attributes)
Specialized image tag model to produce structured attributes from images without needing general vision models.
Pricing
1,000 free credits available to start; no credit card required.
Usage-based (per API call)
Unified per-call pricing; higher volume receives lower unit price (exact rates not listed on the page).- Per-API-call billing rather than per-seat
- No seat limits, volume discounts
Use Cases
Autonomous Product Research
Enable agents to scan thousands of product opportunities daily with structured data for selection and validation.
Continuous Competitor Monitoring
24/7 monitoring of competitor price, availability and listing signals with fast notifications on changes.
Multi-Agent Orchestration
Coordinate specialized agents (Selection, Pricing, Listing) using a shared, agent-optimized data layer and OpenAPI integrations.
Real-time Market Signals
Get today’s trending signals and live market data rather than static or stale reports.
Supply Chain Alerts
Monitor stock levels, price changes, and availability across competitors to detect supply issues.
Listing Automation
Automate discovery-to-listing pipelines using structured product data and extracted attributes.
Integrations
LangChain
One-click OpenAPI import into LangChain for agent tool integration.
CrewAI
Supported agent framework integration via OpenAPI spec.
AutoGen
OpenAPI import and tooling compatibility for multi-agent systems.
Claude MCP
Example MCP server configuration provided to connect ZooData to Claude MCP.
OpenAI / Custom Agents
OpenAPI-first approach allows integration into custom agent setups and OpenAI-based tools.
Skills CLI
Installable pre-built Skills (e.g., 'ZooData Analysis Skill') via the Skills CLI (npx skills add ...).
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Sign up and get your API key / Bearer token (site offers 'Get 1,000 free credits' with no credit card required).
- 2 Choose an endpoint and make a POST request with your API key (examples provided for /openapi/v2/markets/search, /products/search, etc.).
- 3 Consume the clean JSON response in your agent or import the OpenAPI spec into frameworks like LangChain or Claude MCP; optionally install pre-built Skills with 'npx skills add ...'.
Support
docs
API Docs and product documentation accessible from the site ('View API Docs' / Docs link).
community
Community channels listed on site: Discord and GitHub for community support and code.
web console
Web Console available for manual research and exploration before or in addition to API integration.
API
API docs available via the site ('View API Docs'). OpenAPI 3.0 spec and example endpoints are listed on the product pages.
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