A data layer that converts any URL into agent-ready JSON instead of raw HTML, cutting LLM token use by roughly 75% and billing only for requested fields, plus pre-analyzed Amazon and TikTok e-commerce intelligence via API, CLI and MCP server.
Key Features
- Turns any URL into JSON
- Cuts token consumption by 75%
- Billing by requested fields
- Amazon and TikTok e-commerce intelligence
- Supports API, CLI, and MCP server
Pros
- Significantly saves AI costs
- Clean, clear data structure
- Diverse, flexible integration options
Cons
- Depends on external websites' structural stability
- Requires basic development integration ability
Use Cases
- E-commerce competitor data analysis
- AI agents crawling web pages in real time
- Automated information collection and aggregation
Editor's Note
A data-conversion layer designed for AI agents that effectively solves the pain points of bloated web data and wasted tokens.
FAQ
How does ZooData reduce token consumption?
It filters out raw HTML noise and outputs only structured JSON data, fetching only the requested fields, thereby dramatically reducing the amount of data sent to large language models.
Which e-commerce platforms' data does it support?
It currently has built-in pre-analyzed e-commerce intelligence for Amazon and TikTok, quickly available via the API.
What integration methods does it offer?
It supports API calls, a command-line interface (CLI), and an MCP server, letting developers integrate flexibly based on project needs.
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