Show HN: Keenable – A different web search API for AI agents

Hey HN! We built https://keenable.ai, a different web search API for AI agents.

Keenable searches our own 100B+ page index. We are focused on low cost and latency (p95 https://keenableai.github.io/needle): a live benchmark that compares Keenable with other search APIs on fresh agent-like queries.

I spent seven years at Amazon as a scientist working on web grounding for Alexa/AGI, and my co-founder Andrey previously led search at Yandex. We started Keenable because agents search differently from humans, and we wanted to build around those patterns directly.

The API is available now and we provide a free allowance of 100,000 requests a month.

It also exposes a novel SQL-like interface to the web, which is useful for structured extraction and agent workflows.

Happy to answer questions about the index, crawl, ranking, latency, or benchmarking.

Show HN: Keenable – A different web search API for AI agents
keenable.ai

If you look at our benchmarks at https://keenableai.github.io/needle/ we are competitive in quality to exa (the market leader) but much cheaper and lower latency.

This provides interesting tradeoffs where models can call search much more frequently which we believe is one thing that is not happening today.

Our benchmarks (see https://keenableai.github.io/needle/card-lowshared/ ) also suggest that some players in the market, such as Parallel and Brave, may be using the same underlying search index.

I read your 2 axis chart of quality vs cost where there's a direct comparison vs Google and perplexity. But still don't understand the differentiation with Perplexity.

how it behaves once the agent starts making repeated calls in quick succession?