How Sentrix AI Works

Data Collection

Sentrix AI collects data from:

• Pump.fun token metadata

• Blockchain explorers

• Social media and community platforms

• Historical price and volume data

Analysis Process

• Feature Extraction

  • Extracts key features such as transaction frequency, wallet distribution, and price volatility.

• Machine Learning Models

  • Applies AI models trained on historical data to predict token behavior and detect anomalies.

• Risk Scoring

  • Aggregates insights into a single risk score, with detailed explanations for transparency.

• Report Generation

  • Compiles findings into a user-friendly report format with actionable recommendations.

Example Use Case

Scenario

A user wants to analyze a newly listed token on Pump.fun: $SENTRIX.

SENTRIX AI Output

• Risk Score: 85 (High Risk)

• Red Flags:

  • 80% of tokens held by a single wallet.

  • Suspiciously high transaction fees.

  • No verifiable social media presence.

• Recommendations: Avoid investing until token distribution improves and transparency increases.