Launching today
ZooData
The data layer for AI agents
399 followers
The data layer for AI agents
399 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.
Literally just spent hours yesterday trying to parse bloated markdown for an agent. Having a tool that outputs agent-ready JSON from a URL would have saved me so much frustration.
ZooData
@yusufaktulqthz Haha, you're one day late — or right on time 😄 Here's the most direct test: throw the exact URL that tortured you yesterday at us — the 1,000 free credits are more than enough. If the JSON that comes back has the fields you were parsing for, those hours are gone from your life forever. And if a field is missing, tell us — that feedback is worth more than any upvote.
Honestly, avoiding raw HTML processing is exactly what my current project needs.
ZooData
@meralahmedi Perfect timing! Curious what your project is — e-commerce data, content aggregation, or general page monitoring? Tell me what kind of pages you're dealing with and I'll point you to the right endpoint and the exact fields it returns, so you skip the trial-and-error. The 1,000 free credits are enough to run your project's real URLs through it — happy to chat right here or at support@zoodata.ai!
Dealing with bloated markdown has always been annoying when building agents. Having an MCP server included from the start is genuinely useful.
ZooData
@filizutou Thanks! To us these are two halves of the same problem: feeding agents markdown treats them like human readers, and hand-wiring HTTP integrations treats them like human developers. So we made both ends agent-native — typed JSON fields on the data side, MCP tools out of the box on the interface side. Agents shouldn't read webpages, and they shouldn't read API docs either.
The fact that it comes with a CLI and API ready to go is super helpful for developers trying to integrate this quickly.
ZooData
@fatmasavluhstl Thanks! Developer hours belong in your own product, not in "getting data in" — one key, one call, structured fields back; and for agent workflows you can skip integration code entirely via MCP. Any snags while trying it, shout!
Any tool that helps agents work with structured data instead of messy web scrapes is a win. The included CLI is a nice touch for those of us who prefer working from the terminal.
ZooData
@bayramblrn Thanks! The "win" comes down to this: text is something an agent has to read and guess at, fields are something it can act on — and every wrong guess is a hallucination or a retry. Our entire job is deleting the guessing from your workflow: URL in, named and typed fields out. Verify it from your terminal on real pages — and find us here or at support@zoodata.ai if anything's off.
NexaSDK for Mobile
Been testing this for a few weeks with my research agent.
The token savings are real: product pages that used to eat half the context window now come back as compact JSON. My LLM bill noticed before I did. Congrats on the launch! 🎉
ZooData
@power_valsha Weeks of real usage before a comment — that's the feedback that actually means something. Thank you. The context-window savings compounding into real bill savings is exactly the problem we set out to kill. Would love to hear what you're building with it.
Mom Clock
Hey Product Hunt! 👋
I am very happy to hunt ZooData today.
If you’ve spent any time building AI agents, you already know the massive pain point they are solving: raw HTML and heavy markdown burn through LLM tokens like crazy, and maintaining custom scrapers is a constant headache.
Personally, what impressed me is how effortlessly it turns any URL into clean, structured JSON—saving up to 75% on tokens. It’s built specifically for the agent era (with an MCP server right out of the box), meaning you only pay for the data fields you actually use instead of bloated prose.
Huge congrats to Ning and the team on the launch! Please give them your support if you find the product useful, test out their 1,000 free credits, and drop your feedback in the comments below!
ZooData
@justin2025 Thanks for the amazing hunt! 🙌
You nailed it — agents don't need prose, they need fields. Any URL in, clean typed JSON out, plus an MCP server out of the box so Claude/Cursor can pull live Amazon & TikTok Shop data as native tools.
Grab the 1,000 free credits and tell us what breaks — I'll be in the comments all day!