GitMe pricing now follows five clear plans based on token usage and seat limits. Pick the package that matches your current stage and upgrade as your team grows.
No overage · No credit card
Overage: $40 per started 1M tokens
Overage: $40 per started 1M tokens
Overage: $40 per started 1M tokens
Custom usage and overage terms
Effort Score
Quantify contribution with normalized effort.
Measures Real Effort Value per commit using AI-powered diff analysis and highlights high-leverage work to rebalance workloads.
Commit Categorization
See exactly where engineering time is invested.
Maps effort into a normalized taxonomy like feature, bugfix, refactor, test, docs, and ops to quantify investment by initiative.
Effort Score
Quantify contribution with normalized effort.
Measures Real Effort Value per commit using AI-powered diff analysis and highlights high-leverage work to rebalance workloads.
Commit Categorization
See exactly where engineering time is invested.
Maps effort into a normalized taxonomy like feature, bugfix, refactor, test, docs, and ops to quantify investment by initiative.
AI Effort Share
Understand how much code is AI-authored.
Estimates AI-assisted code share with linguistic and temporal signals so teams can benchmark adoption and set responsible usage guardrails.
Effort Score
Quantify contribution with normalized effort.
Measures Real Effort Value per commit using AI-powered diff analysis and highlights high-leverage work to rebalance workloads.
Commit Categorization
See exactly where engineering time is invested.
Maps effort into a normalized taxonomy like feature, bugfix, refactor, test, docs, and ops to quantify investment by initiative.
AI Effort Share
Understand how much code is AI-authored.
Estimates AI-assisted code share with linguistic and temporal signals so teams can benchmark adoption and set responsible usage guardrails.
AI Insights
Narrative intelligence for engineering leaders.
Combines developer analytics with executive-ready summaries and recommended actions to improve productivity, sustainability, and AI adoption.
Retention Analytics
Track longevity of shipped code and team knowledge.
Monitors how long code survives, detects risky churn hotspots, and surfaces continuity issues across developers, projects, and teams.