⚡ Kick Stream Analytics & Deep AI Research Tool v2.0
A complete rewrite from tkinter to PySide6 (Qt6), with a major set of new
detection and automation features.
🆕 What's New
- 📊 Stream Intelligence — historical fraud analysis across days/weeks
of monitoring. Fraud score timeline, full-year risk calendar, pattern
detection (escalating, persistent, scheduled botting, etc), cross-streamer
leaderboard, and "Report to Kick" evidence generator. - 🚀 Full Automation — fully unattended monitoring. When a tracked
streamer goes live, the app opens a session, starts chat logging, runs AI
analysis every 30 minutes, and auto-saves reports — no interaction needed. - 🔊 Stream Audio Monitor — listen to any live stream's audio while
monitoring, no browser required. - 🤖 AI Analysis Queue — multiple sessions can queue for the same AI
provider with automatic cooldowns. Every report auto-saves to AI_Reports. - 🔧 API Diagnostics — 10-test connection health check for Kick,
Anthropic, and Ollama from the hamburger menu. - 🎯 Improved detection accuracy — spike/chat correlation signal,
accurate gift sub counting, subscription deduplication, raid context
passed to the AI, and a CONFIRMED BOTTING verdict tier.
🚀 Getting Started
- Download the source
.zipbelow (or clone the repo) - Run
install.bat— sets up Python, packages, and ffmpeg automatically - Run
launch.batto start the app
Want a standalone EXE instead? Run build.bat after install.bat —
output goes to dist\KickAnalytics_v2\, fully self-contained, no Python
needed to run it.
📖 Documentation
README.md— full feature overviewAI Guide.txt— AI model setup and reading analysis reports (also built
into the app)VIEWBOT_EXPLAINED.txt— plain-English explainer on how viewbot/chat bot
fraud works and how this tool detects it
⚠️ Status
This release is in active testing across multiple machines. Please report
any issues via GitHub Issues.
This tool is not affiliated with or endorsed by Kick.com