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Dashboard Guide

The Chain Sentinel dashboard is your command center for monitoring SCAM tokens on Solana. This guide covers all dashboard features and how to use them effectively.

Overview

Access the dashboard at: app.chainsentinel.net/dashboard

The dashboard is divided into 5 main sections:

  1. Statistics Bar - Key metrics at a glance
  2. Detection Activity Chart - Visual timeline of detections
  3. Latest SCAM Detections - Real-time SCAM feed
  4. AI Models Performance - Model accuracy stats
  5. Network Statistics - System health metrics

Statistics Bar

Located at the top of the dashboard, showing 4 key metrics:

Total Tokens

  • What it shows: Total number of tokens in the database
  • Current value: 291,000+
  • Updates: Real-time as new tokens are discovered

Analyzed Tokens

  • What it shows: Tokens that have been analyzed by AI models
  • Current value: 1,027+
  • Updates: Every time a new token is analyzed

SCAM Rate

  • What it shows: Percentage of analyzed tokens that are SCAMs
  • Current value: ~80.3%
  • Interpretation:
  • High rate (>70%) = Many SCAMs detected
  • Low rate (<30%) = Mostly legitimate tokens

Average Confidence

  • What it shows: Average confidence score across all predictions
  • Current value: ~85%
  • Interpretation:
  • High (>80%) = Models are very certain
  • Medium (60-80%) = Moderate certainty
  • Low (<60%) = Models need more data

Detection Activity Chart

Interactive chart showing SCAM detections over time.

Time Periods

Click the period buttons to change the view:

  • 24H - Last 24 hours (hourly data points)
  • 7D - Last 7 days (daily data points)
  • 30D - Last 30 days (daily data points)

Chart Features

Hover Interaction: - Hover over any point to see exact values - Shows date/time and number of detections

Color Coding: - Red line - SCAM detections - Green line - LEGIT detections (if shown)

Patterns to Watch: - Spikes - Sudden increase in SCAM activity - Trends - Gradual increase or decrease - Plateaus - Stable detection rate

Interpreting the Chart

High Activity:

Detections
    |     *
    |    * *
    |   *   *
    |  *     *
    |_________
      Time β†’
Indicates increased SCAM token creation. Be extra cautious!

Low Activity:

Detections
    |
    | *   *   *
    |  * * * *
    |_________
      Time β†’
Indicates normal or decreased SCAM activity.

Latest SCAM Detections

Real-time feed of recently detected SCAM tokens.

Table Columns

Column Description Example
Symbol Token ticker symbol SCAM
Address Solana token address EPjF...Dt1v
Confidence AI prediction confidence 95.2%
Model Which AI model detected it πŸ€– XGBoost
Liquidity Total liquidity in USD $1,234
Detected When it was detected 2 hours ago
Actions Quick action buttons πŸ‘οΈ πŸ“‹

Confidence Badges

Confidence scores are color-coded:

  • πŸ”΄ 90-100% - Very High (red badge)
  • 🟠 75-89% - High (orange badge)
  • 🟑 60-74% - Medium (yellow badge)
  • βšͺ <60% - Low (gray badge)

Model Badges

Shows which AI model made the prediction:

  • πŸ€– XGBoost - Blue badge (95.59% accuracy)
  • πŸ•ΈοΈ GNN v2 - Purple badge (96.06% accuracy)

Quick Actions

Each row has action buttons:

πŸ‘οΈ View Details - Opens detailed token analysis page - Shows full prediction breakdown - Displays SHAP explanations - Lists related tokens

πŸ“‹ Copy Address - Copies token address to clipboard - Useful for sharing or further analysis

Auto-Refresh

The table automatically refreshes every 10 seconds to show new detections.

Manual Refresh: - Click the πŸ”„ refresh button in the top-right corner

AI Models Performance

Shows accuracy metrics for all AI models.

GNN v2 (Graph Neural Network)

Accuracy: 96.06%

What it analyzes: - Token-wallet relationship graphs - Network topology patterns - Community structures - Centrality metrics

Best for: - Tokens with complex wallet networks - Identifying coordinated SCAM rings - Detecting wash trading patterns

XGBoost

Accuracy: 95.59%

What it analyzes: - 24 engineered features - Liquidity patterns - Holder distribution - Transaction behavior

Best for: - Quick predictions - Feature-based analysis - Explainable results (SHAP)

River ARF (Self-Learning)

Accuracy: 90.49%

What it does: - Learns from every new token - Adapts to new SCAM patterns - Improves over time

Training samples: 9,690+

Network Statistics

System health and performance metrics.

Wallets Monitored

  • What it shows: Number of wallets being tracked
  • Includes: Watchlist + known scammers
  • Updates: Real-time

Alerts Sent (24h)

  • What it shows: Alerts sent in last 24 hours
  • Channels: Telegram, Discord, Slack
  • Updates: Every hour

System Uptime

  • What it shows: Percentage of time system is operational
  • Target: 99.9% uptime
  • Current: Typically >99.5%

Dashboard Tips & Tricks

Keyboard Shortcuts

Shortcut Action
R Refresh dashboard
S Focus search bar
1-4 Switch time period (24H/7D/30D/All)
? Show keyboard shortcuts

Customization

Auto-Refresh Interval: 1. Click βš™οΈ Settings in sidebar 2. Navigate to Dashboard 3. Set refresh interval (5s - 60s) 4. Click Save

Default Time Period: 1. Click βš™οΈ Settings in sidebar 2. Navigate to Dashboard 3. Select default period (24H/7D/30D) 4. Click Save

Performance Tips

For Slow Connections: - Increase auto-refresh interval to 30s or 60s - Disable animations in settings - Use 24H view instead of 30D

For Large Screens: - Dashboard automatically adapts to screen size - Use full-screen mode (F11) for maximum space

Common Use Cases

Morning Routine

  1. Check Statistics Bar for overnight activity
  2. Review Detection Activity Chart for trends
  3. Scan Latest SCAM Detections for new threats
  4. Check Alerts Sent to ensure notifications are working

Before Investing

  1. Search for the token in πŸ” Search
  2. Check if it appears in Latest SCAM Detections
  3. View detailed analysis if available
  4. Check creator wallet reputation

Monitoring a Specific Token

  1. Add token to πŸ‘οΈ Watchlist
  2. Configure alerts for that token
  3. Check dashboard regularly for updates
  4. Review Network Graph for suspicious connections

Troubleshooting

Dashboard not loading?

Possible causes: - Network connection issues - Server maintenance - Browser cache issues

Solutions: 1. Check your internet connection 2. Try refreshing the page (Ctrl+R or Cmd+R) 3. Clear browser cache 4. Try a different browser

Data not updating?

Possible causes: - Auto-refresh disabled - API rate limit reached - Session expired

Solutions: 1. Check auto-refresh is enabled 2. Manually refresh with πŸ”„ button 3. Log out and log back in 4. Check API key status (if using API)

Chart not displaying?

Possible causes: - JavaScript disabled - Ad blocker interference - Browser compatibility

Solutions: 1. Enable JavaScript in browser settings 2. Disable ad blockers for chainsentinel.net 3. Use a modern browser (Chrome, Firefox, Safari, Edge)

Next Steps

Need Help?


Next: Search & Filters β†’