HofundAI access intelligence for publishers

Human review

Review queue

Review labels improve future crawler detection and policy recommendations. Labels are human judgments over imported traffic evidence.

Logs show access behavior, not proof of model training or copyright infringement. What logs can and cannot prove

Corrected labels can be converted into classifier evaluation cases later, but they do not train a model or automatically change production classification.

Demo tenant: Demo Publisher

Open review items
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Labeled items
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Suspicious items
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Unknown bot items
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Registry update candidates
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Known partner labels
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Review queue

Open items are deduplicated by path, crawler identity, verification, reverse DNS, and user-agent.

PriorityStatusPathSystem readVerificationContent classPaywalledPolicy actionReverse DNSQuick labelCreated
No review items for this filter. Import traffic logs first, then generate the review queue from recent evidence.

Ready to decide what happens next?

You do not need to label every item. Once you have enough evidence, move to policy simulation to test allow, block, monitor, or license-required decisions against the imported logs.

Decide in simulator