Transaction Monitoring¶

This guide covers real-time transaction monitoring capabilities in Anya Enterprise's Advanced Analytics module.

Overview¶

The transaction monitoring system provides real-time visibility into blockchain transactions, enabling detection of patterns, anomalies, and compliance issues.

Features¶

Real-Time Monitoring¶

• Live transaction feed processing
• Multi-blockchain support (Bitcoin, Lightning, etc.)
• Configurable alert thresholds
• Custom filtering capabilities

Analysis Capabilities¶

• Transaction pattern recognition
• Anomaly detection algorithms
• Volume trend analysis
• Fee optimization recommendations

Alerting System¶

pub struct TransactionMonitor {
    pub thresholds: AlertThresholds,
    pub filters: Vec<TransactionFilter>,
    pub subscribers: Vec<AlertSubscriber>,
}

impl TransactionMonitor {
    pub async fn monitor_transaction(&self, tx: &Transaction) -> Result<(), AnalyticsError> {
        // Real-time transaction analysis
        let analysis = self.analyze_transaction(tx).await?;

        // Check for alerts
        if self.should_alert(&analysis) {
            self.send_alerts(&analysis).await?;
        }

        Ok(())
    }
}

Configuration¶

[analytics.transaction_monitoring]
enabled = true
real_time = true
batch_size = 1000
alert_threshold = 0.95

[analytics.alerts]
email_notifications = true
webhook_urls = ["https://alerts.example.com/webhook"]

API Integration¶

REST Endpoints¶

• GET /api/v1/analytics/transactions - Get transaction analytics
• POST /api/v1/analytics/transactions/alerts - Configure alerts
• GET /api/v1/analytics/transactions/patterns - Get pattern analysis

WebSocket Streaming¶

const ws = new WebSocket('wss://api.anya.io/analytics/transactions');
ws.onmessage = function(event) {
    const transaction = JSON.parse(event.data);
    console.log('New transaction:', transaction);
};

See Also¶

• Pattern Recognition
• Anomaly Detection
• API Documentation

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For more information, see the Advanced Analytics overview.