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.
Linkup
RivendicaLinkup is a production-grade web search API for AI applications, with grounded answers, full-text snippets, multiple query modes, SDK examples, and enterprise deployment options.
What Linkup is
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.
Core features
Multiple query modes
Choose between Fetch, Search, and Research modes, each aimed at a different workload such as page extraction, agent tool calls, or asynchronous deep research.
Configurable retrieval
Tune the search experience by selecting the index, sources, and freshness so the retrieval layer matches a specific domain or workflow.
Private deployment options
Deploy with options for a private index or bring-your-own-cloud setup when data control and environment constraints matter.
Developer-friendly integrations
Use the product with example code and SDK support shown for Python, Node.js, cURL, the OpenAI SDK wrapper, LangChain, and CrewAI.
Usage-based pricing
Purchase on a transparent pay-as-you-go model, with a free query allowance and enterprise pricing for custom environments and support.
Common use cases
Agent web search
Build AI agents that need live web lookups instead of static training data, using search results that include citations and snippets.
Research assistants
Create research copilots or internal assistants that gather current information and return grounded answers for complex questions.
Legal research
Support legal AI workflows that depend on up-to-date web data, as highlighted by the legal AI case study and customer story collection.
Sales and investment intelligence
Power sales, deal sourcing, and CRM enrichment workflows that pull recent signals from the web and structured pages.
Enterprise deployment
Run enterprise search workflows in controlled environments where teams want private indexing or cloud-bound deployment.
Pros and Cons
Pros
- Clear positioning as a production-grade web search API for AI.
- Supports grounded answers with citations and full-text snippets.
- Offers multiple modes for extraction, fast search, and deeper research.
- Includes deployment options for private index and bring-your-own-cloud use cases.
- Shows practical SDK and framework examples for common developer stacks.
Cons
- The pages provided do not spell out every supported output format, platform, or integration detail.
- Advanced deployment options such as private index or bring-your-own-cloud appear to be tied to enterprise use, so smaller teams may need to confirm fit and pricing directly.
FAQ
What does Linkup provide?
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.
Who is Linkup for?
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.
How do you use it in practice?
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`.
Is there a free tier or trial?
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.
What should buyers verify before adopting it?
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.
Quick Facts
- Category
- Developer Tool
- Product type
- Web Search API for AI
- Pricing model
- Pay as you go
- Free allowance
- 4,000 queries
- Deployment options
- Private index; bring your own cloud
- Notable users
- McKinsey, SNCF, Cohere, Legora, Polymarket, Artisan AI