AI Search API for agents, RAG, and LLM applications
One search API that gives AI agents real-time web evidence with source URLs for citations. Query Google, Bing, Reddit, GitHub, YouTube, and more through a single endpoint designed for agent workflows.
What is an AI Search API?
An AI search API is a search interface designed specifically for AI agent and LLM workflows. Unlike a traditional search API that returns raw HTML or links, an AI search API returns structured results with titles, snippets, source URLs, and optional page content that language models can cite, rank, and read. It supports batch queries, multi-engine coverage, and transports like MCP and CLI so agents can call it directly from their tool layer.
Why builders choose Search1API for AI search
Source-backed results
Every result includes a source URL so your agent can cite where information came from. No hallucinated sources.
Multi-engine in one call
Query Google, Bing, Reddit, GitHub, YouTube, Wikipedia, and more through a single endpoint. No separate integrations.
RAG-ready output
Structured JSON with titles, snippets, and optional Deep Search page content. Pipe directly into your RAG pipeline.
MCP, CLI, and skills
Call the API via REST, MCP server, CLI, or reusable agent skills. Plug into Claude, Cursor, or any MCP-compatible agent.
Deep Search extraction
When snippets are not enough, Deep Search crawls result pages and returns clean, readable text for your agent.
Batch queries
Send multiple queries in one request. Useful when an agent needs to compare topics or gather broad context quickly.
What agents build with the AI Search API
AI assistants that answer questions with current web evidence and citations.
RAG pipelines that ingest live web content alongside internal knowledge bases.
Research agents that query multiple engines and synthesize findings.
Monitoring agents that track news, trends, and competitor mentions in real time.
Coding agents that search documentation, GitHub, and Stack Overflow for up-to-date answers.
Quick start
Send a query and get structured results with source URLs. Works with any HTTP client.
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FAQ
What is an AI search API?
An AI search API is a search interface built for AI agent and LLM workflows. It returns structured results with source URLs for citations, supports multi-engine queries, and offers transports like MCP, CLI, and agent skills so agents can call it directly. Search1API provides this through one endpoint that covers Google, Bing, Reddit, GitHub, YouTube, and more.
How does an AI search API work with RAG?
The API returns structured JSON with titles, snippets, and source URLs. You pipe these results into your RAG pipeline as context chunks. When snippets are not enough, Deep Search extracts clean page text from result pages so your LLM has full article content to reason over.
Can I use the AI Search API with MCP?
Yes. Search1API provides an MCP server that exposes the Search API as a tool. Any MCP-compatible agent, including Claude, Cursor, and custom agents, can call the search endpoint through MCP without writing HTTP code.
Is there a free AI search API?
Yes. Search1API offers 100 free credits when you sign up, no credit card required. Each basic search request costs 1 credit, so you can run 100 AI search queries for free. See what the 100 free credits include on our free search API page.
Which search engines does the AI Search API support?
The API supports Google, Bing, DuckDuckGo, Yahoo, YouTube, X, Reddit, GitHub, arXiv, WeChat, Bilibili, IMDb, Wikipedia, and more. You can specify the engine per query or batch multiple queries across engines.
How much does the AI Search API cost?
Search1API uses credit-based pricing. A basic search request costs 1 credit. Deep Search adds credits for each page successfully crawled. You get 100 free credits on signup, and can top up starting at $8.90 for 1,000 credits.
Explore more
Start building with the AI Search API
Get 100 free credits, no credit card required. Query Google, Bing, Reddit, GitHub, and more through one API designed for AI agents.