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We named Linkup's crawler after Gerardus Mercator, the 16th-century Flemish cartographer behind the 1569 map projection that let sailors plot a course across the globe as a straight line. His name became shorthand for mapping the world, so it went to the component that turns the open web into something you can navigate.

High-reliability inference needs high-performance retrieval. SambaCloud provides sub-second inference on open models like Llama and DeepSeek. Linkup offers to ground those answers in what's actually true right now, not what the model memorized months ago.

A grounding API for AI agents connects an LLM to live web evidence at inference time, replacing recall with retrieval and cutting hallucinations.

"We want to integrate Linkup into all our agents wherever there's web involved." — Caroline Charra, VP Product, H Company

LLM websearch is inaccurate because the retrieval layer feeds stale, low-precision, uncited context - fix it at the API, not the prompt.

A web search API for AI grounds LLM responses in live web data. This guide scores the top options on accuracy, latency, and compliance.

Linkup is the best Tavily alternative for benchmarked accuracy and enterprise compliance, at 92% F-score on Verified SimpleQA.

As of July 2026, three major providers offer deep research via API: OpenAI, Gemini, and Linkup. Only one publishes a reproducible accuracy benchmark. Here is what that means for teams choosing one for production.

7 checks to run before you ship your AI agent. 15 minutes, Pass / Review / Fail format - grounded in current hallucination research.

Where your RAG budget actually goes, line by line (and the one line most teams never check).

Enable web search in Open WebUI in 3 steps and ground every response in accurate, real-time facts with Linkup — the web search engine built for AI grounding.

OpenClaw ships with 11 native search providers. Here is how they compare on price and accuracy, and how to add Linkup via API.

Zero Data Retention means your queries and results are never stored once a request completes. Delivering that guarantee is less a matter of policy than of infrastructure: a provider can only promise that nothing is retained if it controls every system the query touches.

The best researcher API in 2026 depends on your task: Linkup /research leads on web-grounded factual accuracy (61% SealQA-0), Valyu leads on report synthesis (DRACO).

Linkup leads on accuracy at 92% F-score on SimpleQA. Here is how the best web search APIs for AI compare in 2026 on accuracy, pricing, and agentic features.

When teams evaluate retrieval APIs at scale, the first question is almost always price per call. It's the wrong question - and it leads to the wrong architecture. The finding, up front: the cost of web search in a production AI system isn't the API call. It's what the results do to your token bill downstream. A retrieval layer that looks cheap per call but forces extra fetches, re-searches, and bloated context is the expensive option. The right unit of comparison is cost per resolved query.

Your AI searched the web. It just didn't read it. A native web search answer can cite sources, link URLs, and still contain facts that appear nowhere in those sources. The answer looks grounded - there's no way to tell from the output that it isn't. That's the failure mode this post documents: not a worse answer, an unverifiable one. This is a writeup of a live demo comparison between Claude's native web search and Linkup's retrieval API - what we tested, what we found, and why it matters for anyone building production AI systems on top of web search.

How Artisan's AI BDR Ava 2.0 uses Linkup to enrich customer context in real time and power autonomous outbound at scale.

AI search API compliance now decides vendor selection: GDPR, EU AI Act, data residency, and zero data retention are non-negotiable for enterprise teams in 2026.

Google is actively redesigning search around AI, and sued SerpApi for scraping it. SERP APIs return ranked links; AI systems need content. Linkup replaces SerpAPI with one authenticated call that returns extracted text directly - no proxy, no parser, no page fetcher.

If you are comparing Linkup vs Exa for an AI application, the short answer is: Linkup wins on factual accuracy, predictable pricing, and GDPR compliance. Exa wins on semantic discovery and entity enrichment. For most production RAG pipelines and AI agents, Linkup is the stronger choice. Both APIs are purpose-built for AI developers and operate proprietary web indices. The right choice depends on what your application does with retrieved content and what your cost model looks like at scale.

Linkup offers two web search API endpoints for LLMs: sub-second /search and multi-step /research. Here is when to use each.

Bring Your Own Cloud keeps search queries inside your VPC, the only architecture where data never reaches the vendor at all.

Most search APIs draw from a single index. Source diversity changes the factual accuracy and compliance posture of enterprise search generative AI.

BlackFin built an AI-driven strategy for deal sourcing and investment analysis that qualifies thousands of weekly signals, enriches their CRM, and generates automated news briefings leveraging web search.

Legora is an AI platform for legal work, supporting lawyers in research, review, and drafting across complex matters.

How a centralized intelligence layer scaled organisation-wide adoption of agents in a leading bank, without compromising on privacy and security controls.

Most web search APIs work fine in a demo. The question is what happens when something goes wrong in production, when a regulator asks where your AI's answer came from, when your search bill doubles because query complexity spiked, or when your infrastructure team flags that data is leaving your region. That is where Linkup and Parallel diverge.

Enterprise AI stacks in 2026 span five distinct layers. Here is how the stack is evolving – and which tools matter at each layer.

Choosing a web search provider in Europe is no longer just about relevance or latency. It’s about where data flows, who governs the infrastructure, and whether your AI stack can meet regulatory expectations without adding operational risk.

SNCF uses Linkup to power secure, source-controlled web search within an employee-facing agentic platform serving more than 150,000 employees, with private cloud-to-cloud connectivity, full control over retrieved domains through whitelisting and blacklisting, and load management at scale.

Barebone is a mobile-first investment AI agent that focuses on one thing: detecting emerging, viral narratives early on social media, and turning that into actionable investment research. In 2025, its internal fund posted exceptional returns of +77% ,4.7x the performance of the S&P 500 and more than 2x the performance of leading hedge funds

We're excited to announce a strategic partnership with LightOn, a European leader in secure AI for sensitive data.

Today, Linkup adds support for x402, the open payment protocol developed by Coinbase.

If you’re building SEO tools, AI chatbots, or any application that depends on fresh and reliable search data, you’ll need a SERP API or a Web Search API. These tools act as the backbone for extracting and delivering search engine data in real time. In this guide, we’ll cover: What SERP APIs and Web Search APIs are, and how they differ How to evaluate providers and choose the right one The top API providers in 2025 (with pros, cons, and pricing)

Open-source models can reason, write, and orchestrate complex tool calls – but their knowledge is frozen at training time. Baseten handles model serving and inference at scale; Linkup provides structured, real-time web access purpose-built for AI systems. Together, they give you the flexibility of open-source with the data freshness production applications require.

Search APIs like Linkup and answer engines like OpenAI operate at distinct layers of the AI stack. Modern systems combine both, but performance depends on identifying when the bottleneck is retrieval versus reasoning – and applying each layer accordingly

Detecting a leaked credential is only the beginning. The harder question is: how far does the exposure reach? GitGuardian integrated Linkup's search API into their incident response workflow to bring real-time corporate intelligence directly to the moment teams need it most

The biggest win is a reliable, dependable way for our agents to answer ad hoc questions with trusted citations. The ready-to-consume answers mean we save tokens compared to processing all of the content ourselves.

Linkup met our EU security requirements from the start. The API is easy to use and covers exactly what we need - multiple search and fetch modes, domain filters, date parameters, output types. It integrates naturally into our automation workflows and handles the volume we throw at it.

Bing Search API is gone. Linkup is the upgrade.

We keep getting asked how to win AI search – here’s what we’ve learned.

We’re thrilled to announce that Linkup has raised a $10M seed round led by Gradient to build the Google Search for AIs and released /fast, the world's most accurate sub-second web search API

Why Linkup remains a safe and reliable alternative after Google's lawsuit against SerpApi

Source diversity, hallucinations, entity coverage: we benchmarked AI search APIs on Linkup user's queries

How customer-facing chatbot teams use live user feedback and market signals to improve answer quality.

After embedding Linkup into their AI advisory tool, this leading Big 4 firm saw output accuracy improve by 27%, internal adoption rise by 35%, and time-to-delivery drop by 17%, across thousands of consultants over six months.

Linkup has achieved state-of-the-art (SOTA) performance on OpenAI's SimpleQA benchmark, scoring 90.10%. This performance surpasses both traditional AI models (e.g. Grok 3) and competing web-connected solutions (e.g. Perplexity)

A Comparison of Accuracy, Cost, and Why Sonar is Capped to Protect Perplexity's B2C Product

Modern internet retrieval‑augmented generation (RAG) stacks often resemble a Rube Goldberg machine: half a dozen APIs stitched together just to turn a plain‑language question into an answer. Every extra hop adds dollars, seconds, and operational headache. What if you could collapse that entire chain into a single endpoint?

Enterprise AI copilots are no longer optional experiments, they are becoming mission-critical business tools. With the right roadmap, companies can move from concept to company-wide deployment in less than six months. The benefits are tangible: reduced time spent searching for information, faster compliance checks, and millions of dollars in productivity gains. More importantly, a secure, branded assistant helps employees make smarter, faster, and safer decisions by blending internal knowledge with real-time external intelligence.