
Linkup
AI agents sometimes need information beyond their training data. Linkup gives your agent the ability to search the live web, retrieve sourced answers, and deliver verified, up-to-date facts during customer conversations. No hallucinations, just real answers from real sources.




Your AI agent gains access to the entire web through Linkup's search API. Factual answers, sourced results, and deep research happen inside the conversation flow.
Linkup
See how businesses use Linkup-powered AI agents to answer questions that require live web data, turning every conversation into a research-backed experience.
A customer asks about a regulation that was updated last month. Your AI Agent's training data does not cover the change, so it queries Linkup for the latest information. Linkup returns a sourced answer with the official government website as attribution. The customer gets accurate, current information. Your brand avoids the embarrassment of outdated answers.
A prospect asks how your product compares to a competitor that launched a new feature yesterday. Your AI Agent runs a deep Linkup search for the competitor's latest announcements, retrieves feature details with source URLs, and helps the prospect understand the differences. Sales objections get handled with real-time market intelligence.
A customer cites a blog post claiming your product lacks a specific feature. Your AI Agent searches Linkup for the article, reads the context, cross-references with your actual feature set, and provides a factual correction with supporting links. Misinformation gets addressed with evidence, not assumptions.

Linkup
FAQs
You configure this in your agent's behavior settings. The agent can be set to search Linkup when it detects questions about recent events, specific data points, or topics outside its training data. You can also have it always verify answers with a web search for maximum accuracy.
Standard search returns results quickly and is ideal for simple fact lookups or quick verification. Deep search performs multi-step retrieval with chain-of-thought reasoning, taking longer but producing more comprehensive and nuanced answers. Use standard for speed and deep for thoroughness.
Yes. When using the sourcedAnswer output type, Linkup returns a natural language answer along with the URLs of the web pages it drew from. Your agent can share these sources with the customer for transparency and credibility.
A Linkup API key, which you obtain by signing up at linkup.so. Enter the key in the Tars Tools configuration, and the integration is active. No OAuth flow or complex setup required.
No. Search results are fetched from Linkup in real time during each conversation. The agent uses the results to formulate a response, and the data is not persisted after the conversation ends. Each new query produces a fresh search.
Yes. Linkup supports a structured output mode where you define a JSON schema for the desired response format. The agent sends the schema along with the search query, and Linkup returns results formatted according to your specification. Ideal for extracting specific data points from web pages.
Linkup's RAG API is designed to be approximately 15x faster than traditional web scraping methods. Standard depth searches return in milliseconds, while deep searches take a few seconds for more comprehensive results. Fast enough for real-time customer conversations.
Linkup's API focuses on delivering results from trusted, premium content sources. While you cannot set domain-level filters in the API itself, you can configure your agent to validate sources before presenting them to customers, ensuring only reputable references make it into responses.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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