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.
@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!
@petrkovacik Thanks! Same read here: models level up every six months, but if the data feeding them doesn't get cleaner, the agent's ceiling stays stuck at the data layer. 1,000 free credits are ready — put your agent on it and judge for yourself whether the bottleneck actually loosens.
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!
Macaly
data layer is the real bottleneck for agents rn 🙌 clean json instead of raw html is exactly it. nice one!
ZooData
@petrkovacik Thanks! Same read here: models level up every six months, but if the data feeding them doesn't get cleaner, the agent's ceiling stays stuck at the data layer. 1,000 free credits are ready — put your agent on it and judge for yourself whether the bottleneck actually loosens.