Linkup
Real-time web search API that returns LLM-ready structured results for AI agents and RAG applications needing accurate, live web context.
Linkup is a web search API purpose-built for LLM and AI agent applications that need real-time web context beyond training data. Unlike general search APIs, Linkup returns cleaned, structured results optimized for LLM consumption - with source attribution, snippet extraction, and depth controls that let callers choose between fast news-style results and deep multi-step research synthesis. Linkup supports the Model Context Protocol (MCP) for direct integration with Claude, enabling agents to retrieve web search results natively without custom tool definitions. The platform was launched in 2024 to serve the growing demand from AI developers for a reliable, LLM-first search data layer. Usage-based pricing starts with a generous free tier and scales to team plans from $29/month.
Key Features
- Search API returning clean structured results with source URLs and snippet text for LLM consumption
- Deep search mode that performs multi-step research and synthesizes results across sources
- Domain filtering to restrict searches to specific sites, content types, or date ranges
- MCP (Model Context Protocol) server for native integration with Claude and other MCP-compatible agents
- Real-time indexing for current news, prices, and data not available in static knowledge bases
- Structured JSON output with relevance scoring, source metadata, and configurable result depth
Use Cases
- AI agent developers adding real-time web search to autonomous agents without proxy infrastructure
- RAG application builders who need fresh, current data beyond static document indexes
- Chatbot developers enriching responses with up-to-date facts, news, and prices
- Research AI tools that need to synthesize information from multiple live web sources
Pros
- LLM-first output format eliminates HTML parsing and result cleaning boilerplate for AI developers
- MCP server enables direct Claude integration without custom tool definitions
- Deep search mode provides multi-source synthesis that simpler search APIs cannot match
Cons
- Usage-based pricing can become expensive at high query volumes for production applications
- Deep search mode has higher latency than simple search - unsuitable for real-time chat responses
- Index coverage and freshness trails Google and Bing for niche or low-traffic web content
Linkup Alternatives
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Exa
Semantic web search API for AI agents - 400K+ developers use meaning-based retrieval; $357M raised at $2.2B valuation; Series C closed May 2026.
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