Providing B2B real-time data to AI agents
Anysite serves as a layer of real-time web data for AI agents. You can simply tell your intelligent assistant, “Find medical SaaS companies in the Midwestern United States that employ between 50 and 200 people, and then identify those people responsible for procurement within these companies.” It will then provide you with a list of these companies, along with the current positions held by those individuals and their email addresses.
There are two ways to implement this: MCP or API. The official documentation lists several common clients, including Claude, Cursor, Manus, Grok, Gemini CLI, and Codex, eliminating the need to maintain custom crawlers and data pipelines. The coverage reportedly includes over 650 data sources and more than 3,500 APIs. The key point is that data is retrieved in real-time at the moment of the query, rather than by accessing old indexes from search engines.
It repeatedly emphasizes two contrasting approaches. One involves directly asking large models to search for information—often resulting in a few outdated SEO links and a bunch of assumptions. The other approach is traditional clue-enhancement tools, which simply provide updates on company financing activities and summaries of social media accounts. In such cases, spending three to five thousand dollars per month is quite common; however, Anysite operates on a pay-per-use basis.
There is a 7-day free trial available, and the interface is available in Chinese, English, Portuguese, and Spanish. It is ideal for teams that engage in B2B customer acquisition and market research and are already using chatbots; however, if you rely solely on manual methods to acquire customers, its full potential will not be realized.