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APIs / AI/ML / Linkup Search API
Linkup Search API logo

Linkup Search API

Official vendor OpenAPI document · agent-readyAI/MLEmbeddings Searchbearer7 EndpointsREST

For Agents

Search the live web with source-backed answers, fetch page contents, and run asynchronous research tasks for an AI agent.

Use for: I need to search the web for recent news on a topic, Fetch the full content of this webpage, Generate an answer grounded in live web results, Start a research task on a broad question

Not supported: Does not index your private documents, store search history, or crawl entire domains. Use for real-time web search and page fetching only.

The Linkup API runs real-time web searches and returns source-backed answers to natural-language queries. It searches the web, fetches the contents of a single page, generates AI responses grounded in live search context, runs longer asynchronous research tasks, and reports your remaining credit balance.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Linkup Search API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Linkup Search API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Flinkup.com%2Flinkup" | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Flinkup.com%2Flinkup" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Linkup Search API.

Search the live web and return source-backed answers to a query

Fetch the full contents of a single webpage

Generate an AI response grounded in fresh web-search context

Create and poll an asynchronous research task

Read your remaining credits balance

Use Cases

Patterns agents use Linkup Search API for, with concrete tasks.

★ Grounded answers for an AI agent through Jentic

An AI agent answering current-events questions can search the live web and generate a source-backed response. Through Jentic the agent discovers the search and response operations by intent and loads their schemas, so it grounds answers in fresh results without wiring the Linkup endpoints.

Search Jentic for 'search the web', run a query for a topic, and generate a source-backed answer from the results.

Single-page content retrieval

Fetch the full contents of a specific page when the agent already has the URL, rather than running a broad search. Linkup returns the page content so the agent can read and reason over it directly.

Fetch the full content of a known URL and extract the section relevant to the user's question.

Long-running research tasks

Kick off an asynchronous research task for a broad question and poll it until it finishes, then read the compiled result. Linkup runs the task in the background so an agent does not block on a long query, and the credits balance lets it pace usage.

Create a research task for a broad question, poll it until complete, then read the compiled result and check the remaining credits.

Key Endpoints

7 endpoints — the linkup api runs real-time web searches and returns source-backed answers to natural-language queries.

METHOD

PATH

DESCRIPTION

POST

/v1/search

Search the web for a query

POST

/v1/fetch

Fetch content from a webpage

POST

/v1/responses

Generate an AI response using web search

POST

/v1/research

Create an asynchronous research task

GET

/v1/credits/balance

Retrieve current credits balance

POST

/v1/search

Search the web for a query

POST

/v1/fetch

Fetch content from a webpage

POST

/v1/responses

Generate an AI response using web search

POST

/v1/research

Create an asynchronous research task

GET

/v1/credits/balance

Retrieve current credits balance

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Setup

Wiring Linkup by hand means sending its bearer key, choosing between search, fetch, and research operations, and polling asynchronous tasks yourself. Through Jentic you install once, import Linkup from the API Directory, store the key once, and your agent calls it.

Permission scoping

Permission scoping

Linkup carries the query in the request body, so rules bound which operations your agent may call, not which sites. You choose the operations it may call, such as search and fetch, so starting a research task is not included unless you add it.

Credential management

Credential isolation

Your Linkup API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Intent-based discovery

Agents search Jentic by intent such as 'search the web' or 'fetch a webpage', and Jentic returns the matching Linkup operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Tavily

→

Search API built for AI agents with grounded answers

Choose Tavily for another agent-focused search API with answer grounding.

Alternative

Brave Search

→

Independent web search index with an API

Choose Brave Search when you want an independent index and raw result control.

Alternative

Exa

→

Neural search over the web for retrieval

Choose Exa for embeddings-style neural search and content retrieval.

FAQs

Specific to using Linkup Search API through Jentic.

What authentication does the Linkup Search API use?

The Linkup Search API authenticates with a bearer token per its OpenAPI spec: pass your API key as a Bearer token in the Authorization header. Through Jentic the key is stored encrypted by your own Jentic One instance and injected at request time.

Is there a Linkup Search API MCP server?

You don't need an MCP server to give your agent the Linkup Search API. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent calls it on demand without loading another server's tool definitions into its context.

Can I get answers with sources from the Linkup Search API?

Yes. The search operation returns source-backed results, and the response operation generates an AI answer grounded in live web-search context, so an agent can cite where each claim came from.

What are the rate limits for the Linkup Search API?

The OpenAPI spec does not state numeric rate limits; usage is metered against a credits balance the API reports. Check the Linkup documentation at https://docs.linkup.so for current limits and pricing.

Can I limit what my agent is allowed to do with the Linkup Search API?

Yes. Linkup carries the query in the request body, so rules bound which operations your agent may call. Allow only the search and fetch operations it needs, so it can look things up but cannot start expensive research tasks unless you add that operation.

How do I search the web with the Linkup Search API through Jentic?

Search Jentic for 'search the web', load the search operation, and pass your query. Jentic injects your key and returns source-backed results. To run it on your own infrastructure, install Jentic One from its GitHub repo.

GET STARTED

Start building with Linkup Search API

Explore with Jentic One
View OpenAPI Document