Launching today

ZooData
The data layer for AI agents
656 followers
The data layer for AI agents
656 followers
ZooData turns any URL into agent-ready JSON, so AI agents can work with structured data instead of raw HTML or bloated markdown. Use ~75% fewer LLM tokens, pay only for the fields you use, and skip extra extraction credits.Beyond extraction, ZooData gives agents pre-analyzed e-commerce intelligence — competitor, market, traffic, and consumer insights — live for Amazon and TikTok. API, CLI, and MCP server included. Start with 1,000 free credits, no card required.





Structured input is a better foundation for agents than making the model repeatedly interpret noisy pages. How do you preserve context that doesn’t fit neatly into the extracted schema but might become important to the agent later?
The 75% token reduction claim makes sense structurally but I'm curious how it holds on pages where the most valuable data is buried in dynamic elements that only render after JavaScript executes , things like live pricing widgets, inventory counters, or seller ratings that load asynchronously. Is the JSON output pulling from the fully rendered DOM or the initial HTML response, because for e-commerce intelligence that difference is where the real data quality gap tends to sit.
neat framing, agent-ready JSON instead of raw markdown. when a site restructures its page layout, does the schema auto-remap to catch the drift or does it silently break until someone notices the fields are empty?
the daily-cycle vs no-cache split for analytics vs realtime endpoints is smart, most tools pretend everything's live. does JS-heavy SPA rendering get priced the same as static pages or does that heavier compute cost more per call?
CapCut AI Suite
Congrats on the launch!
Clean JSON by default is such an obvious idea in hindsight. I can't believe I've been feeding my agents markdown soup this whole time 😅
ZooData
@lavana_cricko Haha, that's literally how this started — we got fed up feeding our own agents markdown soup 😅 The loop was always: fetch → clean → write parsers → page changes → everything breaks. The realization: agents never wanted "text that reads like a webpage," they wanted fields they can act on. That's ZooData. Treat your agents to the 1,000 free credits — they deserve better than soup!