ZooData launches URL-to-JSON agent data layer
ZooData is a specialized data layer for AI agents that transforms unstructured web URLs into clean, agent-ready JSON, reducing LLM token consumption by around 75% compared to raw HTML or markdown. It features built-in e-commerce intelligence for Amazon and TikTok, with developer integrations available via API, CLI, and an MCP server.
Feeding raw HTML or bloated markdown to AI agents wastes valuable tokens and context window space. ZooData's approach of extracting only targeted JSON fields is the right path forward for agentic workflows, enabling faster operations at a significantly lower cost. Supporting the Model Context Protocol (MCP) ensures seamless integration with modern agent frameworks, while built-in e-commerce insights for Amazon and TikTok offer immediate business value without requiring custom scraping pipelines. However, the platform's long-term viability will depend on its ability to maintain parsing reliability as target websites dynamically update their structures.
DISCOVERED
2h ago
2026-07-18
PUBLISHED
8h ago
2026-07-18
RELEVANCE
AUTHOR
Ning Hu