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We've releasedPiebald, the ultimate agentic AI developer experience.
Download it and try it out for free!https://piebald.ai/

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Splitrail is afast, cross-platform, real-time token usage tracker and cost monitor for:

• Gemini CLI (andQwen Code)
• Claude Code
• Codex CLI
• Cline /Roo Code /Kilo Code
• GitHub Copilot
• OpenCode
• Pi Agent

Run one command to instantly review all of your CLI coding agent usage. Upload your usage data to your private account on theSplitrail Cloud for safe-keeping and cross-machine usage aggregation. From the team behindPiebald.

Download the binary for your platform on theReleases page.

Splitrail can run as anMCP (Model Context Protocol) server, allowing AI assistants to query your usage statistics programmatically.

splitrail mcp

• get_daily_stats - Query usage statistics with date filtering
• get_model_usage - Analyze model usage distribution
• get_cost_breakdown - Get cost breakdown over a date range
• get_file_operations - Get file operation statistics
• compare_tools - Compare usage across different AI coding tools
• list_analyzers - List available analyzers

• splitrail://summary - Daily summaries across all dates
• splitrail://models - Model usage breakdown

Splitrail stores its configuration at~/.splitrail.toml:

[server]url ="https://splitrail.dev"api_token ="your-api-token"[upload]auto_upload =falseupload_today_only =false[formatting]number_comma =falsenumber_human =falselocale ="en"decimal_places =2

On Windows, we uselld-link.exe from LLVM to significantly speed up compilation, so you'll need to install it to compile Splitrail. Example forwinget:

winget install --id LLVM.LLVM

Then add it to your system PATH:

:: Command promptsetx /MPATH"%PATH%;C:\Program Files\LLVM\bin\"set"PATH=%PATH%;C:\Program Files\LLVM\bin"

or

# PowerShellsetx/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

MIT

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