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Token Spend Report

Overdeck tracks every API call, token, and dollar spent across its AI coding pipeline. This interactive report visualizes that data — from model breakdowns to monthly trajectories to the actual codebase evolution video.

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What’s Inside

This published report is a point-in-time snapshot. For live spend while agents and conversations are running, the dashboard’s Cost Tracking page tracks the same SQLite + JSONL event streams in real time — total cost, event count, budget warnings, a 30-day trend chart, and a per-issue breakdown. The report pulls from two data sources:
  • SQLite (~/.overdeck/panopticon.db) — February 2025 through March 2026
  • JSONL (~/.overdeck/costs/events.jsonl) — Canonical from March 31, 2026 onward (includes OpenAI GPT-5.5/5.4)

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Key Sections

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Beyond Cost: Runtime Metrics

Cost is only half the picture. The dashboard’s Metrics page pairs the spend data above with runtime comparison and performance analytics — useful when deciding which model to route a given role to, since the cheapest model per call isn’t always the cheapest per completed task.

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Regenerating the Report

The report is generated by the /token-spend-report skill. To update it:
  1. Run the skill: /token-spend-report
  2. The skill extracts fresh data from SQLite + JSONL
  3. Updates the HTML at docs/token-spend-report/index.html
  4. Optionally regenerates the Gource video
  5. Commits and pushes to GitHub Pages
The skill lives at ~/.claude/skills/token-spend-report/SKILL.md and is synced via pan sync.

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GitHub Pages

The report is hosted directly from the repo’s docs/ folder via GitHub Pages:
This is a zero-cost static site that updates automatically on every push to main.

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Data Freshness

  • Last updated: 2026-05-25
  • Data through: 2026-05-25
  • Git history through: 2026-05-25 (6,463 commits)
  • Total tracked calls: 734,117
  • Total spend: $54,116