How much does Linkup cost?

You get 4,000 free queries, then pay per request. Search and Fetch run $0.005 to $0.006 per request, while Research costs $0.25 to $2.50 depending on depth. Enterprise pricing is custom.

Do I need coding skills to use Linkup?

Yes. Linkup is an API product, so you'll write at least a few lines of code or use an SDK. There's no click-and-go app for non-developers.

Which platforms and frameworks does Linkup support?

It works over REST and ships Python and JavaScript SDKs. It also integrates with the OpenAI SDK wrapper, LangChain, CrewAI and other frameworks.

Does Linkup offer an API?

Yes, the API is the whole product. You get an API key from the dashboard and call the endpoints directly or through an SDK.

Can Linkup keep my data private?

It can, within limits. SOC 2 Type II and Zero Data Retention ship on every tier, and the enterprise Bring Your Own Cloud option runs the index inside your own infrastructure.

What's the difference between Search and Research?

Search returns results in under 200 ms and suits grounding fast agents. Research runs async for 2 to 20 minutes and produces a full cited report. Pick Search for speed, Research for depth. If you're wiring live web data into an AI agent, Linkup is worth testing against whatever retrieval stack you run today. Start on the free tier, then benchmark it on your own queries. Does the cited, sub-second performance hold up under your workload? That's the only test that counts.

Linkup

Linkup · Coding · Other

Linkup is a web search API that gives AI agents and LLMs real-time, cited web content for accurate answers.

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About Linkup

What Is Linkup

Linkup is an AI search engine and web integration platform that lets large language models and AI agents pull accurate, real-time content from the open web. You send a query through a simple API call, and Linkup returns ranked sources, a cited answer, or clean markdown you can feed straight into a prompt.

The product targets one stubborn problem: models trained on stale data confidently invent things. Linkup grounds those models in live web results instead. According to the company, its Search endpoint ranks first among sub-second web search APIs on Verified SimpleQA with a 94% F-score, and its Research endpoint tops SealQA-0 at 61% accuracy.

Teams at Legora, Polymarket, Cohere, McKinsey and SNCF run production systems on it. The main limit is that Linkup is a developer tool, not a consumer app. You need an API key and some code to use it, and the deeper features like Private Index and Bring Your Own Cloud sit on enterprise plans.

Getting Started

Create an account at app.linkup.so and generate an API key from the dashboard.
Install the SDK (pip install linkup-sdk) or call the REST endpoints directly.
Send a first request with the Search endpoint, setting the depth and output type you want.
Read the returned URLs, sourced answer, or JSON, then pass them into your model's context.
Track usage in the dashboard and move to a paid tier once the free queries run out.

Product Information

A quick look at Linkup's pricing, supported platforms, and performance.

Free PlanYes

Paid Plans$0 - $0.006/request

PlatformWeb, REST API, Python and JavaScript SDKs

DeveloperLinkup

CategoryCoding · Other

Release DateJan 2024

Latest UpdatedSep 2026

Website Visits74.3K

Website Global Rank459.9K

API AvailabilityYes

Best for

The users, tasks, and scenarios where this tool fits best.

Users

Developers building RAG pipelines
AI product teams shipping agents
Analysts and researchers

Tasks

Grounding an LLM answer
Extracting page content
Bulk enrichment

Scenarios

Financial research bots that need current figures rather than training-cutoff numbers.
Enterprise deployments with strict compliance rules, where Bring Your Own Cloud keeps queries inside your own infrastructure.
Startup prototypes, since the free tier covers 4,000 queries before you pay anything.

Key features

Five Tuned Endpoints

Linkup splits its API into Search, Fetch, Research, Tasks and Extract. Each sits at a different point on the speed-versus-depth curve. Pick the one that matches your latency budget instead of forcing a single endpoint to do everything. Search grounds agents. Research handles slow, thorough synthesis.

Sub-200 Millisecond Search

The Search endpoint starts returning results in under 200 ms. That speed matters for voice AI and live chat, where a two-second wait makes the answer feel broken. It also exposes three depth modes, so you can trade a little speed for better recall when the query is hard.

Customizable Index

You don't take Linkup's index as-is. You define which sources to trust, which domains to prefer, and which proprietary data to blend in. So a legal copilot and a shopping agent end up querying different slices of the web, tuned to their own domain. Same API, different web.

Bring Your Own Cloud

Got strict data rules? Then this matters. The full indexing layer runs inside your own VPC, and queries never leave your environment. Combined with SOC 2 Type II and Zero Data Retention, it's what lets regulated industries adopt a third-party search API at all.

Framework Integrations

Linkup drops into the OpenAI SDK wrapper, LangChain, CrewAI and dozens of other frameworks. If your stack already speaks one of those, you're adding a tool call, not rebuilding your retrieval layer.

Async Research Reports

The Research endpoint takes a query and returns a detailed report or a precise answer with inline citations, drawing on multiple sources. It runs asynchronously over 2 to 20 minutes. That fits overnight jobs and deep-dive requests, where accuracy beats speed and nobody's watching the clock.

Pros and cons

Pros

Cited, real-time results cut down on hallucinated facts in AI answers.
Search latency under 200 ms is fast enough for voice and live chat.
Per-request pricing from $0.005 makes costs predictable and easy to scale.
The open-source evaluation code lets you verify the accuracy claims yourself.
Framework integrations mean minimal changes to an existing stack.

Cons

It's a developer tool with no end-user interface, so non-coders can't use it directly.
Research requests take 2 to 20 minutes, too slow for interactive use.
The free tier stops at 4,000 queries, which a busy prototype can burn through quickly.
Private Index and Bring Your Own Cloud require an enterprise conversation and custom pricing.

Frequently asked questions

Linkup gives AI applications live web data. Developers call its API to ground model answers in current, cited sources instead of relying on stale training data.

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