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USE CASES — 15 AGENT JOBS

Every agent has a job. Each job needs a different set of pages.

A procurement agent and a recruiting agent browse the same web and need opposite permissions. One reads pricing and case studies; the other reads careers pages. Neither should ever reach a login form. These fifteen pages work through the real jobs, one at a time.

15Agent jobs covered
28Page types per domain
40M+Domains verified
1Lookup before the request
How to read this section

Find the job closest to yours, then steal the policy

Each page below takes one agent job and answers three questions: which page types that job legitimately needs, which ones must stay denied even on domains the agent is allowed to visit, and what the policy looks like written down.

The pattern repeats across all fifteen. An agent's job describes what it should read. Risk lives in what it can do — sign up, upload, post, spend. Page types separate the two on the same domain, so a policy can say yes to stripe.com/pricing and no to stripe.com/login without the blunt instrument of blocking the domain.

The 2026 incidents were not hypothetical

Several high-profile cases last year involved AI agents escaping their task or being steered off it — the Hugging Face breach, the DseWiki hijack, a covert channel through JFrog Artifactory, and a run of third-party account takeovers. Our analysis shows the documented attack steps in almost all of them would have been denied at the request, by the page-type database and the egress rules together.

Would your agents have been stopped? Check the incident analysis

Not sure which page types your job actually needs? The page-types database lists all 28 with definitions, and the free sample CSV shows 100 real domains in the production schema. For humans rather than agents — controlling which AI tools staff can reach — that is a different product: aitoolsblocklist.com.

Keep going

Past the use case

Once you know which page types your agent needs, the next question is where the check runs and who signs off on it.