Merge pull request #403 from jeongwookie/main

Add WhereMyTokens to Usage Analytics & Cost Tracking
This commit is contained in:
James Murdza
2026-05-14 13:48:31 -07:00
committed by GitHub
+1
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@@ -409,6 +409,7 @@ Tools for monitoring token usage and API costs across AI providers:
- [cc-tempo](https://github.com/O0000-code/cc-tempo) — Claude Code statusline that parses transcript JSONL for active work time (excludes idle and interactive-tool waits), SubAgent speedup ratio, /clear-resilient PID timer, code-churn sparkline with trend arrow, and multi-instance detection. Bash + TypeScript CLI, MIT.
- [ai-coding-tools-pricing](https://github.com/lunacompsia-oss/ai-coding-tools-pricing) — Open JSON dataset of pricing for 8 AI coding tools (Copilot, Cursor, Claude Code, Windsurf, etc.). 30+ tiers, TypeScript types, JSON Schema. CC-BY-4.0. Updated monthly.
- [CodeCosts](https://codecosts.pages.dev) — Interactive cost calculator and comparison tool for AI coding tools. Uses the ai-coding-tools-pricing dataset to help developers pick the right plan.
- [WhereMyTokens](https://github.com/jeongwookie/WhereMyTokens) — Windows system tray app for monitoring Claude Code token usage in real time. Displays per-session token counts, costs, context window usage, and tool call breakdowns; fetches 5h/1w rate-limit data from the Anthropic API with optional statusLine bridge integration for live data without polling.
- [aicost](https://github.com/dwylq/aicost) — Universal AI coding cost analyzer CLI. Scans Claude Code, Cursor, and GitHub Copilot usage with cache-aware pricing, HTML dashboard, and cost alerting. No API key required.
- [CostGoat](https://costgoat.com) — Privacy-first menubar app for tracking AI agent quotas (Claude Code, Codex, Kimi, Z.ai) and LLM API costs (OpenAI, OpenRouter, Anthropic, ElevenLabs) in real-time. Also covers cloud spend and SaaS subscriptions.
- [TokenWise](https://github.com/CodeShuX/tokenwise) — Measurement-driven model router for Claude Code. Auto-routes subtasks across Haiku/Sonnet/Opus based on task class, logs every routed task with verified $ saved to a local NDJSON, and includes an A/B test subcommand to validate cheaper tiers before trusting routing. MIT, zero telemetry, Anthropic-only.