3 items
Local-first controls for reducing engagement-bait noise on X.com. Debait filters engagement-bait patterns on X using configurable local heuristics and optional LLM-assisted account analysis. It scores posts and accounts across dimensions such as: - Questions - Videos - Polls - Engagement language - Template repetition - Polarization - Posting frequency - Low substance You control the weight of each dimension and the filtering threshold. Matching posts are hidden locally in your browser. Debait does not mute, block, follow, unfollow, report, or modify your X account. Optional LLM analysis uses the provider and API key configured by you. Requests go directly from your browser to that provider. Debait does not operate a backend and does not receive your API key. Privacy: - No telemetry - No analytics - No Debait-operated backend - No Debait-side account data collection - API key stored locally and encrypted at rest - Local filtering state stays in your browser This is engagement-pattern filtering, not content moderation.
Jul 14, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.