Docyrus AI Builder
Analytics

Overview

Monitor your platform usage and resource inventory

Monitor Your Platform Usage and Resource Inventory

Track your DocyrusAI platform usage with comprehensive analytics covering resources, automation runs, AI credits, and user activity. Monitor trends and optimize your resource allocation with real-time insights.

Get complete visibility into your platform usage with real-time metrics and historical trends to optimize your DocyrusAI experience.

Key Metrics Overview

Total Resources

Track all resources across different types in your platform

Active Users

Monitor monthly active user count and engagement

Automation Runs

Track monthly automation executions and performance

AI Credits Used

Monitor AI credit consumption across all features

Analytics Dashboard

Resource Distribution

View the distribution of resources across different types in your platform.

The resource inventory shows how your platform resources are allocated across different categories, helping you understand usage patterns and optimize resource distribution.

Resource Categories

  • Applications: Total number of created applications
  • AI Agents: Active AI agents and assistants
  • Automations: Configured automation workflows
  • Integrations: Connected external services
  • Data Sources: Connected databases and APIs
  • Files: Uploaded and managed files

Daily Usage Metrics

Monitor daily platform activity across key usage indicators.

Automation Runs

Daily automation executions and workflow completions

Integration Calls

Daily API integration requests and responses

AI Credits

Daily AI usage credits consumed across all features

Active Users

Daily active user count and session metrics

File Storage

Daily storage usage tracked in GB

AI Index Storage

Daily AI index storage consumption in GB

Daily metrics provide granular insights into platform usage patterns, helping you identify peak usage times and optimize resource allocation.

Understanding Your Analytics

Platform Metrics Explained

  • Total Resources: Count of all resources across applications, agents, automations, integrations, data sources, and files
  • Active Users: Number of unique users who have accessed the platform within the current month
  • Automation Runs: Total number of automated workflow executions completed
  • AI Credits: Credits consumed for AI-powered features including code generation, analysis, and assistance
  • Integration Calls: API requests made to external services and integrations
  • Storage Usage: File storage and AI index storage measured in gigabytes

Using Analytics for Optimization

Pro Tip: Use the analytics dashboard to identify usage patterns, optimize resource allocation, and plan for future growth based on historical trends.

Best Practices

  1. Regular Monitoring: Check daily metrics to understand peak usage patterns
  2. Trend Analysis: Use monthly trends to forecast resource needs and budget planning
  3. Resource Optimization: Review resource inventory to identify unused or underutilized resources
  4. Performance Tracking: Monitor automation success rates and integration performance
  5. Cost Management: Track AI credit usage to optimize feature utilization