When you ask an AI agent to do market research, qualify a lead, or analyze a potential partner, it will do a web search and paste back text from a website. At best.
The problem isn’t the agent. It’s that the data it needs isn’t structured in a way it can use.
What Agents Need
Think about what happens when an agent tries to qualify a company. It needs to know: does this company exist? Is it active? What’s its size? Who are the owners? Does it have tax debt? What industry does it operate in?
This information exists. It’s in government databases, commercial registries, tax systems. But it’s scattered, in inconsistent formats, behind CAPTCHAs, in unstructured PDFs.
A human can navigate this with effort. An agent can’t do it reliably — and when it tries, the results are too inconsistent to base a decision on.
The Opportunity
What exists for the American market is remarkable. Clearbit, Apollo, ZoomInfo — APIs that return structured company data in milliseconds. An agent calls the API, gets JSON back, and continues the workflow. It works.
In most markets outside the US, this is fragmented. There are some players, but none with the completeness, reliability, and API-first design that modern agents need. Most were built thinking about human dashboards, not programmatic consumption.
With AI agent adoption accelerating, demand for structured data will grow at the same speed. Every workflow involving company information will need this data. And it will need it reliably, quickly, and in a format an agent can use.
The Consumption Model Changes
There’s something interesting here beyond the market opportunity: the data consumption model changes with agents.
Today you pay per seat or per monthly volume. With agents, consumption is per call, and can vary widely depending on the workflow. An agent doing lead qualification consumes data differently from an agent doing due diligence.
The credits model makes much more sense for this use case. The agent consumes what it needs, when it needs it, and the cost is proportional to the value generated by the workflow.
What This Means
I’m not saying the company data market will explode because of AI. I’m saying the interface that data needs to have will change — from dashboards to APIs, from human queries to agent calls.
Companies that understand this first will have a significant advantage. Because building for agents is different from building for humans. And the window to do this before the market consolidates is now.