X Bot Detector

Detects bot accounts and botted posts on X using XHR interception and multi-signal heuristic analysis.

X Bot Detector analyzes tweets and accounts on X (formerly Twitter) to identify bot activity using 20 heuristic signals and 7 swarm detection checks. Everything runs locally in your browser — no data leaves your device, no API keys needed. HOW IT WORKS The extension intercepts X's internal GraphQL API responses to extract rich user and tweet metadata — the same data X's own frontend uses. This gives it access to account creation dates, follower counts, posting sources, and more, enabling far more accurate detection than DOM-only analysis. WHAT IT DETECTS Account signals: account age, reputation score (followers/following ratio), posting rate, list memberships, default profile detection, username patterns, display name analysis, and bio spam patterns. Content signals: hashtag density, spam keywords (crypto scams, engagement bait), emoji abuse, mention bombing, suspicious URLs, and template text detection. Engagement signals: bought likes/views/retweets detection and generic reply farming. Source analysis: identifies bot frameworks, automation tools, and suspicious posting clients. Temporal analysis: detects unnaturally regular posting patterns and rapid-fire tweeting. Coordination detection: finds copy-paste content across different users in your session. REPLY SWARM DETECTION Groups replies by conversation and checks for text similarity clustering, bot username patterns, generic reply floods, new account prevalence, default avatars, low reputation repliers, and automation tool usage. SCORING Each tweet gets a weighted score across all signals: - 70%+ = Likely Bot (red badge) - 40-69% = Suspicious (orange badge) - 20-39% = Mild Signals (blue badge) - Below 20% = Clean (no badge) Badges show "API" (green) when scored with full intercepted data, or "DOM" (grey) for fallback DOM-only analysis. 100% private. Zero data collection. No external API calls. Everything stays in your browser.