Web Search API for AI Agents

A high-performance search API designed specifically for AI agents that returns results in under 200ms. Built from scratch (crawler, index, retrieval models) for efficiency, solving the bottleneck where agents wait for search results before generating responses.

The rise of agentic AI frameworks like LangChain, AutoGPT, and Claude's tool-use has made real-time web retrieval a genuine infrastructure bottleneck — latency that's acceptable for a human using a browser is a serious problem when it sits inside a reasoning loop running dozens of iterations. Exa (formerly Metaphor) is the closest incumbent, and it has already attracted meaningful developer adoption, which validates demand but also means competing against a well-funded, technically deep team that had the same insight earlier. The $5k–$50k/mo revenue band is plausible given API pricing models — search infrastructure tends to command per-query or tiered subscription pricing, and agent pipelines can generate high call volumes — but margin is the real question, since running a crawler and index at competitive latency is expensive before you've hit scale. The biggest risk is the infrastructure moat: building a crawler, index, and retrieval stack that genuinely beats Exa, Brave Search API, or Bing on latency *and* relevance *and* cost is a multi-year, multi-million-dollar engineering problem, and most indie hackers will hit a wall long before they've indexed enough of the web to matter.