AI agents need more than a list of links. They need clean, structured, citable web content they can reason over. This page explains what makes a search API suitable for agentic workflows, and how different approaches compare.
What AI agents need from web search
Traditional search engines return HTML pages designed for human eyes. AI agents need something different:
Structured data: JSON responses with titles, URLs, snippets and relevance scores — not raw HTML that requires parsing.
Clean content: Extracted article bodies without navigation, ads or boilerplate. Agents waste tokens and hallucinate when fed noisy HTML.
Relevance ranking: Results scored against the query intent (0–1), so the agent can prioritize the most useful sources.
Freshness: Real-time access to the live web, not a stale index. Agents researching current events or recent documentation need up-to-the-minute data.
Citations: Source URLs and optional answer summaries with citation markers, so the agent can ground its output in verifiable facts.
Machine-readable errors: Clear error codes and automatic refunds on failure, so agent loops can retry or degrade gracefully.
How SearchPipe delivers this
SearchPipe is a web search API and MCP server built specifically for developers building AI agents. One call runs the full pipeline:
Multi-engine retrieval: Aggregates results from multiple search engines on self-hosted infrastructure.
Full-text extraction: Fetches top-N pages and extracts the article body, stripping navigation and ads.
LLM relevance reranking: Scores every result 0–1 against the query intent and sorts by relevance.
Optional AI answer: Generates a cited summary flagged with ai_generated=true.
The response is clean JSON your agent can consume directly — no HTML parsing, no crawler maintenance, no reranker tuning.
SearchPipe offers two equal integration paths — same pipeline, same parameters, same billing:
REST API (POST /search): Callable from any language, framework or backend service. Authenticate with an sp- prefixed API key via Authorization: Bearer or X-API-Key header.
MCP Server (streamable-http): A remote MCP endpoint with the API key embedded in the URL. Paste one line into Claude Code, Cursor or any MCP-compatible client and your agent gains web search instantly.
Neither path is a fallback. Switching between them costs nothing and changes nothing about the results.
Retrieval vs extraction vs reranking
Many search APIs stop at retrieval — returning a list of titles and snippets. For agents, that's only the first step:
Retrieval alone gives you links, but the agent still needs to fetch and parse each page.
Extraction fetches the page and strips noise, but results may still be ordered by the search engine's generic ranking, not your query's specific intent.
Reranking uses an LLM to score each result against your actual query, surfacing the most relevant content first.
SearchPipe bundles all three in one call. You don't pay extra for extraction or reranking, and you don't manage separate services.
Freshness, cost and latency
Freshness: Every query hits live search engines. Identical queries with identical parameters are cached for 300 seconds by default; everything else is real-time.
Cost: Credit-based pricing. Basic search = 1 credit, advanced search = 2 credits. New accounts get 1,000 free credits. Recharged credits never expire. Failed calls are automatically refunded.
Latency: A cold query runs the full pipeline (retrieval → extraction → reranking) and typically takes a few seconds. Cached queries return in milliseconds.
Alternative approaches
Other ways to give agents web access exist, each with trade-offs:
Raw search engine APIs (Google Custom Search, Bing Web Search): Return HTML or snippet-only results. You build extraction, reranking and caching yourself.
Headless browsers (Playwright, Puppeteer): Full browser automation. Powerful but slow, expensive and fragile — anti-bot measures break frequently.
Vector databases + crawlers: Pre-indexed content. Great for static knowledge bases, but stale for time-sensitive queries and costly to maintain.
Other search APIs (Tavily, Exa, Brave): Each has strengths. Tavily offers a similar developer experience; Exa excels at semantic/neural search; Brave has an independent index. SearchPipe differentiates with bundled extraction + reranking, Chinese web coverage, and a remote MCP server with zero local setup.