Waitlist + live simulation

Merchant Center suspension risk radar before tomorrow's disapprovals

Paste previous and current policy/spec text, your diagnostics JSON, and a feed sample CSV. PolicyPing maps change pressure to specific attributes, estimates impacted SKUs, and outputs fix playbooks.

Risk Radar Input

What makes this different

🧠

Deterministic policy diffing

Compares old vs new policy/spec text line by line with strictness scoring.

🎯

Attribute-level impact model

Maps each change and diagnostic signal to specific feed attributes and likely disapprovals.

🛠️

Fix playbooks

Outputs concrete remediation actions per risky attribute before requesting review.

Join early access waitlist

FAQ

Is PolicyPing a prompt wrapper?

No. It runs deterministic diffing, attribute matching, feed quality checks, and rule-based risk scoring.

What data should I paste?

Previous and latest policy/spec text, Merchant diagnostics export, and a representative feed CSV sample.

Can this predict all suspensions?

No model can predict every case, but it surfaces high-probability disapprovals with concrete remediation actions.