Microsoft has unveiled Web IQ, a new set of AI-native APIs designed to give enterprise agents and applications access to live information from the web. The service was announced at the company’s Build conference and is aimed at helping developers build AI systems that are more grounded, more context-aware, and easier to scale in production.

The APIs are built to pull relevant information from web pages, news, images, and videos while reducing the token overhead usually associated with web retrieval. Microsoft says Web IQ is already powering grounding for Copilot and ChatGPT, and is designed to make web search and retrieval less expensive and less complex for enterprise use.

Why Microsoft Is Doing This

For the last couple of years, enterprises have focused mainly on grounding AI in internal sources such as documents, databases, and knowledge repositories. Microsoft argues that the next step is helping those systems reliably understand and use the outside world as well.

That matters because many production agents need live data, not just internal context. They may need current news, public web content, or visual references to answer questions accurately or complete workflows. Microsoft’s pitch is that Web IQ can reduce the need for teams to assemble their own search, scraping, ranking, and orchestration stacks.

Lower Cost, Less Glue Code

Analysts say the biggest appeal of Web IQ is practical: it could save organizations from building and maintaining their own web-grounding pipelines. In many companies, developers currently stitch together search APIs, web crawlers, retrieval-augmented generation systems, vector databases, ranking logic, and orchestration layers. That works, but it is often fragile, expensive, and hard to maintain.

The harder part is not simply finding a page. It is finding the right evidence, ranking it properly, selecting useful passages, minimizing token waste, and doing all of that quickly enough for multi-step agents. Microsoft says Web IQ is designed to handle that more efficiently, which should help reduce both latency and inference costs.

Enterprise Use Cases

Web IQ could also make AI application development simpler. Rather than forcing each team to build a custom web-grounding layer, Microsoft is positioning the service as a reusable, agent-native capability that can be shared across projects.

That shared approach may be especially attractive to CIOs, since most enterprises do not want every development team inventing its own web retrieval stack. They want a capability that is governed, scalable, low-latency, and cost-efficient.

Competitive Landscape

Microsoft is not alone in this space. Competing options already include OpenAI web search, Google grounding, Perplexity APIs, Bing Search APIs, Azure AI Search, vector databases, and custom RAG pipelines. Even so, Microsoft may have an edge because it can connect Web IQ with Bing’s web index, Azure AI, Copilot, Foundry, Microsoft 365, and its broader enterprise developer ecosystem.

The company is also extending the IQ branding across several other products, including Work IQ, Fabric IQ, and Foundry IQ, all of which are aimed at adding more business context to agentic systems.

Availability

Web IQ is currently available in limited access for selected Azure customers. Enterprises can request access through their Microsoft account team or submit a request form. Microsoft also says developers can use Web IQ as a model-agnostic MCP tool inside Foundry IQ, which gives them another way to plug web intelligence into agent workflows.