Total tokens
13.37M↗ 18.4%See where your
Codex tokens go.
Run one command to turn your local Codex logs into a private usage dashboard—tokens, model mix, rate-limit snapshots, and API-equivalent cost.
YOUR CODEX USAGE
Good morning, Alex.
API-equivalent
$25.41estimateCache hit rate
78.2%↗ 6.1%DAILY TOKEN USE
Input + output + cached input5-hour window
63% leftResets in 2h 14mWeekly window
82% leftResets FridayOne private view for the numbers Codex leaves on your machine.
One command. Your usage, explained.
Follow the steps below. Keep this page open and your dashboard will appear after the first sync.
- 1Sign in with GitHub
Create your private dashboard and a one-time connection code.
- 2Choose your system
We tailor the command for macOS or Windows PowerShell.
- 3Copy and run one command
The collector previews, filters, and syncs usage metadata only.
- 4See your dashboard
Your first report usually appears in under a minute.
Start with a private dashboard
GitHub identifies your account. It never gives us access to your repositories.
Production button: Continue with GitHubUseful numbers leave your computer.
Your work does not.
Read locally
The collector finds active and archived Codex session logs on your Mac or Windows PC.
Strip content
Prompts, responses, tool output, code, file paths, project names, skills, and MCP names are discarded.
Sync totals
Only aggregated token counts, model names, timestamps, and optional rate-limit snapshots are uploaded.
Explain usage
Your dashboard turns those totals into trends, cache metrics, and an API-equivalent cost estimate.
Your code is none
of our business.
The collector is designed around a narrow data contract. You can preview the exact payload before the first upload.
See the connection flow →What is synced
✓ Aggregated token counts
✓ Model names
✓ Dates and timezone
✓ Optional limit snapshots
✓ Anonymous device ID
What never leaves
× Prompts and responses
× Source code or files
× Tool calls and commands
× Project or repository names
× Skill and MCP names
Tokens are easier to understand when they have a price.
We apply effective-dated public model prices to uncached input, cached input, and output tokens. Estimates are educational—not your subscription bill.
Track my usage →