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Linkup

Production web search API for AI — sub-second cited search, page fetch and async deep research

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freemiumPay as you go and priced per request rather than per seat, with 4,000 queries free to start. Fetch, for URL content extraction, is $0.001 to $0.005 per request at under two seconds latency, synchronous. Search, for web search tool calls from AI agents, is $0.005 to $0.006 per request at one to three seconds latency, synchronous, and comes in Fast, Standard and Deep variants. Research, for asynchronous deep research, is $0.25 to $2.50 per request with latency from one to ten minutes. SOC 2 Type II is included on all plans; zero data retention is available on the Enterprise plan, which also covers in-your-own-cloud deployment. There is no monthly platform fee published — the request price is the price.View full pricing →

About Linkup

Linkup is a production-grade web search API built specifically as the retrieval layer under AI applications, rather than a consumer search engine with an API bolted on. It exposes three primitives with deliberately different latency and cost profiles: Fetch, which extracts the content of a given page in under two seconds; Search, which returns sourced, cited results with full-text snippets in one to three seconds and is the primitive an agent calls mid-loop; and Research, an asynchronous deep-research endpoint that runs for one to ten minutes on complex questions. You keep control of the index rather than accepting a black box — tuning which sources are in scope and how fresh results must be — and the whole thing can be deployed inside your own cloud when data residency matters. Accuracy is published against benchmark datasets including SimpleQA, with a methodology page rather than a bare claim. The company positions around four uses: giving agents real-time cited web access through one vendor instead of several; legal research where full regional data residency is non-negotiable; sales enrichment that resolves a company at signup and surfaces live buying signals; and reinforcement learning, where training a search agent on the same retrieval engine you ship in production gives a denser reward signal and cuts tokens, turns and searches. SDKs ship for Python and Node.js alongside plain cURL, and SOC 2 Type II is included on every plan.

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Key Features

✓Three primitives — Fetch, Search and Research — priced separately
✓Sourced, cited answers with full-text snippets
✓Tune the index, pick the sources, set freshness
✓Deployable inside your own cloud with regional data residency
✓Python and Node.js SDKs plus plain HTTP
✓SOC 2 Type II on all plans, ZDR on Enterprise

Linkup Pros & Cons

✅ Pros

  • +Per-request pricing with no platform fee makes cost trivially forecastable
  • +4,000 free queries is a real evaluation, not a demo
  • +Published benchmark methodology instead of an unsourced accuracy claim

⚠️ Cons

  • −Research at up to $2.50 a call gets expensive fast in an agent loop
  • −Prices are quoted as ranges, so worst-case is what you should budget
  • −Self-hosted deployment and ZDR are Enterprise-only

Tags

search-apiragagentscitationsdeep-researchsoc2
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