Search APIs are fragmented. We're building one layer that routes for you.
One interface for live web search across multiple providers, and your own private data — auto-routed by query type, cost, latency, and freshness, instead of locking your agent into a single provider's blind spots.
What is a search API, and why does it matter now?
A search API is a hosted service that takes a query and returns search results as structured JSON — titles, snippets, URLs, sometimes images or a knowledge panel — the same information a results page shows a human, shaped for a program to consume instead. That mattered for SEO tools and rank trackers for years. It matters more now because large language models have started using search as a tool call in their own reasoning loop, not just something a human clicks through.
Why AI agents need search APIs
A language model's training data has a cutoff and no awareness of what happened yesterday. Give an agent a search tool, and it can check current prices, verify a claim, or ground an answer in a real source before responding — a pattern usually called retrieval-augmented generation, or RAG. The reliability of that loop depends heavily on the search API behind it: how clean the JSON is, how fast it responds, and how consistent its results are.
Featured: SerpStack
SerpStack is one of the more straightforward options in this space — a single REST endpoint that returns real-time Google search results as clean JSON, with a free tier for testing. Its simplicity is part of the appeal for agent builders: less parsing logic between the API response and the prompt you hand the model. Read the full SerpStack provider page for details.
SearchAPIs Directory
121+ pages comparing providers, agentic workflows, industry use cases, and core concepts behind search APIs and SERP data — the reference material behind the product above.