Live data access to the commercial web, for AI agents.

AI agents can reason, write, and act. But without live data, they cannot reliably tell who works where now, what a buyer said this week, which ad a competitor just launched, or how customers are reacting to a product.

That leaves a person opening tabs, copying links, checking dates, and feeding context into the model. The agent does the thinking. The person still has to gather the evidence.

A company page shows what a business says it does. A profile shows who is responsible. Posts and comments show what people care about. Ad libraries show what companies are paying to put in front of the market. Product pages and reviews show what is being sold and what customers think after buying it.

Together, these public surfaces form the commercial web. They change every day, and the links between them are usually left for a person to assemble by hand.

Supercenter gives agents one way to search and read across those sources while they work. It turns different public pages and provider responses into structured results an agent can use, with links back to the source where available.

The agent can use that access through MCP, an API, the CLI, or an installed skill. The same capabilities are available in the Supercenter workspace when a task needs a hands-on interface.

When an agent can gather and check its own evidence, it can do more than draft around whatever context a person remembered to provide. It can build a prospect list from current roles, prepare an account brief from recent activity, compare live campaigns, or track what a market is saying now.

The result is not an answer that asks for another research pass. It is a piece of work grounded in the same public sources a person would have opened themselves.