For developers building AI agents and RAG applications, Linkup is a web search API that returns results from vetted, trusted sources with citations, giving generated answers a verifiable factual grounding instead of raw scraped links.
Presence & Market Position
#85 of 103
GTM Developer Tools
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Linkup positions itself as infrastructure built specifically for AI systems rather than a search product retrofitted for agents — a web-search and research API meant to give language models access to current, sourced information instead of a frozen training-data snapshot. That framing carries into how the conversation about it runs: more developer- and builder-circuit visibility than end-user commentary, showing up at AI conference stages, hackathon and startup-challenge sponsorships, and in analyst roundups of the category. The technical conversation trends toward integration write-ups — production deployments inside other companies' agent stacks and platform partnerships that extend where its search API shows up, more than head-to-head comparison with other tools.
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SearchApi
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Business Profile
Linkup launched in 2024 out of Paris, founded by three people who'd worked on search and data infrastructure at Spotify, Lyft, and McKinsey. It has stayed lean since — nine employees carrying $13.2M in total funding, including a $10M seed round closed in February 2026 — while reporting close to $1M in revenue for 2025. The company frames its mission around giving language models access to live, sourced web information instead of the frozen snapshot baked into training data, and it's using the new capital to build out infrastructure and grow engineering teams split across New York, San Francisco, and Paris rather than fund a large go-to-market motion.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Linkup ships API, SDK, and MCP surfaces built for agent consumers rather than retrofitted from a human search product. The MCP server exposes search, deep-research, research-status, and page-fetch tools to any MCP-compatible client, with documented support for Claude Code, Cursor, VS Code, and Codex. It has also published an agent-facing knowledge repo of use cases, workflow patterns, and prompt templates, alongside framework compatibility with LangChain, CrewAI, and the OpenAI SDK.
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