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  • OVERVIEW
    • What is Dormint?
    • Problem statement
    • Solution
    • User types & Use cases
  • GETTING STARTED
    • How to start?
    • Creating your first AI Agent
    • Using marketplace to buy an Agent
    • Requesting a custom Agent
  • ARCHITECTURE
    • Functional layers
    • Nodes & Node-Based Logic
    • Templates & Gamification
    • Public API Access
    • Analytics & Real-Time Monitoring
  • Marketplace & Contributors
    • Marketplace & Contributors
    • Custom Agents
    • Submitting Nodes & Templates
  • Advanced topics
    • What's AI Sleep Agent?
      • Main features
    • Scaling & Performance
  • ECONOMY
    • Revenue streams
    • Tokenomics
      • $DOAI utility
      • Buyback & Burn Deflationary Mechanism
  • ROADMAP
  • TEAM & ADVISORS
  • GLOSSARY
  • FAQ & Troubleshooting
    • Common questions
    • Tech support
  • Changelog
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  1. ARCHITECTURE

Analytics & Real-Time Monitoring

Dormint provides comprehensive insights into each AI Agent’s performance:

  1. Usage Stats

    • Track the volume of daily or monthly calls, token spending, and active users.

    • Monitor adoption rates to understand user engagement.

  2. Outcome Metrics

    • Specialized dashboards for wellness apps might show average sleep improvement, challenge completion rates, or retention curves.

  3. Logs & Debugging

    • Inspect detailed logs of node executions, including errors or anomalies.

    • Debug issues quickly by replaying or simulating past agent calls.

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Last updated 4 months ago