A fast, cross-platform tool for real-time token usage tracking and cost monitoring for AI coding agents like GitHub Copilot and Claude Code.
Splitrail is a real-time monitoring tool that tracks token usage and calculates costs for AI-powered coding assistants and CLI tools like GitHub Copilot, Claude Code, and Gemini CLI. It solves the problem of opaque AI usage and spending by providing developers with immediate visibility into their consumption patterns and expenses across multiple AI coding platforms.
Developers and engineering teams who regularly use AI coding assistants (CLI tools or IDE extensions) and need to monitor their token usage and associated costs for budgeting or optimization.
Developers choose Splitrail because it offers a unified, cross-platform view of AI tool usage across multiple providers, supports real-time tracking, and provides cost breakdowns without being tied to a single vendor's dashboard.
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.
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Supports a wide array of AI coding assistants including Gemini CLI, Claude Code, and GitHub Copilot, as detailed in the README, providing unified monitoring.
Tracks token consumption and costs instantly, offering developers immediate visibility into AI tool usage patterns without delays.
Runs on Windows, macOS, and Linux, ensuring compatibility across different operating systems for diverse development setups.
Functions as a Model Context Protocol server, enabling AI assistants to programmatically query usage statistics for enhanced automation and insights.
Installation on Windows requires additional steps like installing LLVM and modifying the system PATH, as per the development instructions, adding friction.
Only monitors the specific AI coding assistants mentioned; unsupported or emerging tools cannot be tracked without updates from the developers.
Full features, such as cross-machine data sync, depend on using Splitrail Cloud, which may not suit teams with offline requirements or privacy concerns.