Klingai Usage Analytics

Overview

This skill shows how to build comprehensive usage analytics including generation metrics, cost analysis, trend reporting, and visualization dashboards for Kling AI.

Prerequisites

• Kling AI API key configured
• Usage data collection in place
• Python 3.8+ with pandas/matplotlib (optional)

Instructions

Follow these steps for analytics:

1. Collect Data: Capture usage events
2. Aggregate Metrics: Calculate key metrics
3. Generate Reports: Create usage reports
4. Visualize Data: Build dashboards
5. Set Up Alerts: Anomaly detection

Output

Successful execution produces:

• Usage summary statistics
• Daily breakdown reports
• Top user analysis
• Anomaly detection alerts
• Exportable CSV data

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

• Kling AI Dashboard
• pandas Documentation
• Data Visualization