This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
KeiroLabs gives AI agents and developers programmable access to the web. Search, extract, retrieve, and run multi-step research through APIs with structured citations. Its indexed search is designed for fast, low-cost agent loops, while content retrieval, embeddings, extraction, agentic research, and MCP support cover deeper workflows—from RAG pipelines to autonomous research agents.
Hey Product Hunt 👋
I'm one of the builders behind KeiroLabs.
We started Keiro because giving an AI agent access to the web sounds simple until you actually build it.
A useful agent doesn't just need a search result. It needs to find sources, inspect them, retrieve the relevant content, sometimes search again, and ultimately produce an answer that can be traced back to the web.
That led us to build Keiro around a set of developer APIs for:
→ Web search
→ Content extraction
→ Crawling
→ Semantic retrieval
→ RAG workflows
→ Agentic research
→ MCP integrations
One thing we're particularly focused on is making agentic web research practical at scale. Keiro's indexed search is designed for fast, low-cost repeated searches, while deeper endpoints can handle content retrieval and multi-step research.
We'd love feedback from people building AI agents, RAG systems, search products, and developer tools.
What would you want a web research API to do that it doesn't do today?
Try it, break it, and tell us what you think.
— The KeiroLabs team
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About Keirolabs on Product Hunt
“Web research infrastructure for AI agents”
Keirolabs was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #152 on the daily leaderboard. KeiroLabs gives AI agents and developers programmable access to the web. Search, extract, retrieve, and run multi-step research through APIs with structured citations. Its indexed search is designed for fast, low-cost agent loops, while content retrieval, embeddings, extraction, agentic research, and MCP support cover deeper workflows—from RAG pipelines to autonomous research agents.
Keirolabs was featured in API (98.7k followers), Artificial Intelligence (479.2k followers), GitHub (41.4k followers) and Tech (633k followers) on Product Hunt. Together, these topics include over 333.8k products, making this a competitive space to launch in.
Who hunted Keirolabs?
Keirolabs was hunted by Kumar Roushan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Keirolabs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kumar Roushan