by Piebald-AI
Fast, cross-platform, real-time token usage tracker and cost monitor for Gemini CLI / Claude Code / Codex CLI / Qwen Code / Cline / Roo Code / Kilo Code / GitHub Copilot / OpenCode / Pi Agent / Piebald.
# Add to your Claude Code skills
git clone https://github.com/Piebald-AI/splitrailWe've released Piebald, the ultimate agentic AI developer experience.
Download it and try it out for free! https://piebald.ai/
Scroll down for Splitrail. :point_down:
Splitrail is a fast, cross-platform, real-time token usage tracker and cost monitor for:
Run one command to instantly review all of your CLI coding agent usage. Upload your usage data to your private account on the Splitrail Cloud for safe-keeping and cross-machine usage aggregation. From the team behind Piebald.
[!note] ⭐ If you find Splitrail useful, please consider starring the repository to show your support! ⭐
Download the binary for your platform on the page.
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Splitrail can run as an MCP (Model Context Protocol) server, allowing AI assistants to query your usage statistics programmatically.
splitrail mcp
get_daily_stats - Query usage statistics with date filteringget_model_usage - Analyze model usage distributionget_cost_breakdown - Get cost breakdown over a date rangeget_file_operations - Get file operation statisticscompare_tools - Compare usage across different AI coding toolslist_analyzers - List available analyzerssplitrail://summary - Daily summaries across all datessplitrail://models - Model usage breakdownSplitrail stores its configuration at ~/.splitrail.toml:
[server]
url = "https://splitrail.dev"
api_token = "your-api-token"
[upload]
auto_upload = false
upload_today_only = false
[formatting]
number_comma = false
number_human = false
locale = "en"
decimal_places = 2
On Windows, we use lld-link.exe from LLVM to significantly speed up compilation, so you'll need to install it to compile Splitrail. Example for winget:
winget install --id LLVM.LLVM
Then add it to your system PATH:
:: Command prompt
setx /M PATH "%PATH%;C:\Program Files\LLVM\bin\"
set "PATH=%PATH%;C:\Program Files\LLVM\bin"
or
# PowerShell
setx /M PATH "$env:PATH;C:\Program Files\LLVM\bin\"
$env:PATH = "$env:PATH;C:\Program Files\LLVM\bin\"
Then use standard Cargo commands to build and run:
cargo run
Build as normal:
cargo run
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