Purgewatch
A pre-flight monetization-risk reviewer that compares transcripts and format patterns across a creator's catalog and maps findings to YouTube's current inauthentic-content rubric.
Creators can optimize titles and inspect recent metadata without seeing the cross-catalog repetition that a monetization reviewer may perceive across scripts, formats, personas, and upload automation. A free risk scanner now validates demand but examines only a small recent slice. The opening is transcript-level and catalog-level comparison with source-linked policy findings, uncertainty, and remediation experiments—never a promise that a score predicts YouTube's decision.
The monetized creator, channel operator, production agency, or network managing a repeatable video catalog and preparing new uploads.
A probabilistic warning product must guide edits without manufacturing certainty.
The rubric update is current, though the cited termination wave occurred earlier.
The idea graph is active but grounded convergence remains moderate.
A recent policy clarification, a clear creator buyer, a live metadata-level competitor, and the transcript-plus-catalog mechanism support a timely product.
Convergence is modest, YouTube decisions are opaque, the closest scanner is free, labels will be sparse and biased, and platform tools can expand.
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