Linkup
AI search APIs are the infrastructure layer that gives large language models access to current web information. Unlike traditional search engines, these APIs return semantically relevant, structured results optimized for retrieval-augmented generation (RAG) and AI agent workflows. They are used by AI products that need to answer questions about the real world beyond their training data.
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How Linkup compares
Frequently asked questions
What is Linkup used for?
Linkup is a search API for AI agents and RAG pipelines, with the distinguishing feature that its index is built from licensed publisher content rather than scraped pages. Teams pick Linkup when data provenance matters – regulated industries, customer-facing AI products, or anyone wary of the legal exposure that comes with scraping-based APIs.
How does Linkup compare to Tavily?
Tavily ships broader LLM-framework integration (LangChain, LlamaIndex) and a larger pre-built community, while Linkup leads on legal posture: publisher licensing and SOC2 Type II certification. Tavily's index is deeper today; Linkup's bet is that licensed retrieval becomes table stakes as AI search regulation tightens.
Is Linkup SOC2 certified?
Yes. Linkup is SOC2 Type II certified, which matters for AI products that ship into regulated industries like healthcare, finance, and legal. Most direct competitors (Tavily, Exa) only hold SOC2 Type I or are mid-audit, so this is a real differentiator for enterprise procurement.
How does the 'information-atom' indexing work?
Linkup decomposes licensed source content into atomic claims (facts, statistics, quotes) and indexes those rather than full pages. At retrieval time, an LLM-friendly response is reassembled from atoms with citations back to source publishers. This reduces hallucination surface for downstream agents but limits Linkup to content publishers have licensed, so the index is shallower than scraping-based alternatives.
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