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Splitrail

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

• Gemini CLI (and Qwen 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 the Splitrail Cloud for safe-keeping and cross-machine usage aggregation. From the team behind <img src="https://github.com/Piebald-AI/piebald/raw/main/assets/logo.svg" width="15"> Piebald.

[!note] ⭐ If you find Splitrail useful, please consider starring the repository to show your support! ⭐

Download the binary for your platform on the Releases page.

Screenshots

Splitrail CLI

<img width="750" alt="Screenshot of the Splitrail CLI" src="https://raw.githubusercontent.com/Piebald-AI/splitrail/main/screenshots/cli.gif" />

Splitrail VS Code Extension

<img width="750" alt="Screenshot of the Splitrail VS Code Extension" src="https://raw.githubusercontent.com/Piebald-AI/splitrail/main/screenshots/extension.png" />

Splitrail Cloud

<img width="750" alt="Screenshot of Splitrail Cloud" src="https://raw.githubusercontent.com/Piebald-AI/splitrail/main/screenshots/cloud.png" />

MCP Server

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

splitrail mcp

Available Tools

• 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

Resources

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

Configuration

Splitrail 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

Development

Windows

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

macOS/Linux

Build as normal:

cargo run

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License

MIT

Copyright © 2026 Piebald LLC.