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AI Search🔴Developer
L

Linkup

Production-grade web search API for AI, ranked #1 on OpenAI's SimpleQA benchmark and used by McKinsey, Cohere, and Polymarket.

Starting at$5 credit
Visit Linkup →
💡

In Plain English

Production-grade web search API for AI, ranked #1 on OpenAI's SimpleQA benchmark and used by McKinsey, Cohere, and Polymarket.

OverviewFeaturesPricingUse CasesFAQ

Overview

Linkup is a Paris-based search API built specifically for LLM-powered apps and agents. The pitch is simple: give your model a single endpoint that returns either fresh structured web search results or a synthesized answer with citations, optimized for factual accuracy rather than SEO ranking. Linkup publishes that it ranks #1 on OpenAI's SimpleQA benchmark and lists customers including McKinsey, SNCF, Cohere, Legora, Polymarket, and Artisan AI. The API surface is intentionally small: one /search endpoint with two depths — standard for fast snippet-style retrieval and deep for slower, more thorough investigation that can power Perplexity-style answer engines — plus options for structured output, source filtering, and freshness controls. Pricing is pay-as-you-go and unusually transparent: roughly $0.005 per standard search and around $0.05+ for deep searches, with a Free tier including $5 in credit and no card required. Higher-volume plans add committed usage and dedicated support. Linkup integrates with LangChain, LlamaIndex, Vercel AI SDK, and OpenAI's Agents SDK out of the box, and they ship an MCP server so any MCP-aware client (Claude Desktop, Cursor, Goose) can use it as a real-time search tool with a single config line. Builders pick Linkup over Bing/Google clones when they care about factual correctness on hard, recent questions and want a clean API instead of scraped SERPs.

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Key Features

Feature information is available on the official website.

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Pricing Plans

Free

$5 credit

    Pay-as-you-go

    From $0.005/search

      Enterprise

      Custom

        See Full Pricing →Free vs Paid →Is it worth it? →

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        Best Use Cases

        🎯

        Research and analyst agents

        ⚡

        RAG pipelines that need accurate fresh data

        🔧

        Perplexity-style answer engines

        🚀

        Compliance and due-diligence assistants

        💡

        Real-time fact-checking inside chatbots

        Pros & Cons

        ✓ Pros

        • ✓Top-ranked factual accuracy on OpenAI's SimpleQA benchmark
        • ✓Deep-search mode returns synthesized, citation-backed answers in one call
        • ✓Transparent per-call pricing — no opaque enterprise quotes for small teams
        • ✓Official MCP server for Claude Desktop, Cursor, and Goose
        • ✓First-class integrations with LangChain, LlamaIndex, and the Vercel AI SDK

        ✗ Cons

        • ✗Deep-search calls are seconds-slow and ~10x the cost of standard search
        • ✗Fewer query knobs than Exa or Tavily (no neural-vs-keyword toggle, less rerank tuning)
        • ✗Smaller customer-visible status page — less operational transparency than incumbents
        • ✗Index is strong on factual queries but less tuned for navigational lookups

        Frequently Asked Questions

        How much does Linkup cost?+

        Linkup pricing starts at $5 credit. They offer 3 pricing tiers.
        🦞

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        Quick Info

        Category

        AI Search

        Website

        linkup.so
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