Advanced pattern analysis to detect suspicious viewer activity. Uses multiple analysis types to give you confidence scores.
Video Demo
Analysis Types
1. Reality Check Patterns
Looks for unnatural viewer count patterns that don’t match normal behavior.
2. Temporal Pattern Analysis
Analyzes timing patterns—do viewers appear and disappear in suspicious ways?
3. Market Cap Correlation
Checks if viewer counts correlate appropriately with market cap changes.
4. Peak Timing Analysis
Examines when peak viewers occur relative to other events.
5. Statistical Anomaly Detection
Finds statistical outliers in viewer data that suggest manipulation.
6. Growth Pattern Analysis
Reviews how viewer counts grow—natural vs. artificial patterns.
Confidence Levels
Each analysis contributes to an overall confidence score (0-100):
- Low (0-40) - Unlikely to be botting, normal patterns
- Medium (41-70) - Some suspicious patterns, worth investigating
- High (71-100) - Strong indicators of botting activity
Single Token Analysis
Analyze one token at a time for detailed insights. See which patterns triggered and why.
Bulk Analysis
Process up to 50 tokens at once. Perfect for screening multiple opportunities or comparing tokens.
What You Get
- Overall confidence score
- Breakdown by analysis type
- Pattern identification
- Recommendations
- Processing time tracking
Use Cases
- Traders screening tokens before investing
- Streamers verifying their audience authenticity
- Analysts researching market manipulation
- Due diligence on token performance
Botting detection is a tool, not a guarantee. Use it alongside other research methods to make informed decisions.
