Analytics for
AI-Assisted Coding
Track tool usage, file changes, git operations, and coding patterns.
Dashboard Overview
Track sessions, tool usage, and file changes at a glance
Deep Insights
Analyze file types, session patterns, and code churn over time
Plugin Ecosystem
Monitor skills, agents, and your installed plugin environment
Works with your favorite AI coding tools
Claude Code
Available now
GitHub Copilot
Coming soon
OpenAI Codex
Coming soon
Google Gemini
Coming soon
Why TokenScope?
Transform how your organization measures and optimizes AI-assisted development.
Measure AI ROI
Quantify the impact of AI coding tools on your development workflow. Make data-driven decisions about your AI investments.
Enable Innovation
Empower your development teams to experiment with AI tools. Track adoption patterns and identify best practices across your org.
Drive Velocity
Boost team productivity with actionable insights. Identify bottlenecks and optimize your AI-assisted development pipeline.
Everything You Need
Comprehensive analytics to understand your AI-assisted development workflow.
- Track Tool Usage
- Code Metrics
- Git Analytics
- Time Analytics
Track Tool Usage
Monitor Read, Write, Edit, Bash and other tool invocations in real-time.
Code Metrics
See lines added, removed, and files modified across all your sessions.
Git Analytics
Track commits, pushes, PRs, and other git operations automatically.
Time Analytics
Visualize your coding patterns with hourly and daily activity heatmaps.
Cloud Sync
Sync your analytics across devices and access them from anywhere.
Team Dashboards
Aggregate analytics for your team. Great for engineering managers.