Search and research API
Use the product as a single API layer for web search and research, with a flow that returns cited answers and full-text snippets from trusted sources.
Production-grade web search API for grounded AI answers and full-text snippets
Linkup is a production-grade web search API for AI applications. It is designed to return grounded, sourced answers from the web with full-text snippets, and the site positions it as infrastructure for teams building search into agents, copilots, and other production systems.
The product can be used through a one-line API call or deployed inside a customer-owned cloud environment. The site also describes options for private indexes and configurable freshness, sources, and retrieval behavior, which makes the service fit both general web search and more controlled enterprise workflows.
Use the product as a single API layer for web search and research, with a flow that returns cited answers and full-text snippets from trusted sources.
Choose between Fetch, Search, and Research modes, each aimed at a different workload such as page extraction, agent tool calls, or asynchronous deep research.
Tune the search experience by selecting the index, sources, and freshness so the retrieval layer matches a specific domain or workflow.
Deploy with options for a private index or bring-your-own-cloud setup when data control and environment constraints matter.
Use the product with example code and SDK support shown for Python, Node.js, cURL, the OpenAI SDK wrapper, LangChain, and CrewAI.
Purchase on a transparent pay-as-you-go model, with a free query allowance and enterprise pricing for custom environments and support.
Build AI agents that need live web lookups instead of static training data, using search results that include citations and snippets.
Create research copilots or internal assistants that gather current information and return grounded answers for complex questions.
Support legal AI workflows that depend on up-to-date web data, as highlighted by the legal AI case study and customer story collection.
Power sales, deal sourcing, and CRM enrichment workflows that pull recent signals from the web and structured pages.
Run enterprise search workflows in controlled environments where teams want private indexing or cloud-bound deployment.
Linkup provides API access to web search and research results. The home page shows example SDK usage with the OpenAI SDK wrapper, Python, Node.js, and cURL, and the pricing page groups the product into Fetch, Search, and Research modes.
The product is positioned for AI applications that need grounded web data, including agents, research copilots, legal AI, sales workflows, and other enterprise search use cases shown on the site.
The site shows a search query flow in its Python example: create a client with an API key, then call `search()` with parameters such as `query`, `depth`, and `output_type`.
The pricing page states that Linkup offers 4,000 queries for free and then pay-as-you-go pricing, with separate pricing for Fetch, Search, and Research modes.
The site does not publish every integration, output format, or implementation limit on the pages provided. It does show SDK support and integration with frameworks such as LangChain and CrewAI.
Traffic data is for reference only.
extruct.ai
Company research API and search platform with source-backed answers
biologpt.com
Science search grounded in experimental data, with file uploads and analysis by email
notebooklm.google
Source-grounded research, cited answers and study aids, now called Gemini Notebook.
unriddle.ai
Anara is an AI research workspace for cited answers, document analysis, and web and library search.
www.nimbleway.com
Nimble Web Search Agents are self-learning research agents that search and crawl the live web for domain-specific answers, enrichment, and structured datasets. They are designed for teams building repeatable research workflows where the schema, search scope, and output format need to be controlled.