nowfound

AI · June 22, 2026

Claude Cost & Token Inspector

Track Claude costs, tokens, context & model switches

Claude Cost & Token Inspector launched on June 22, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.

What it does

Claude Cost & Token Inspector gives Claude users visibility into what normally stays hidden. Track token usage and estimated costs in real time, detect safety reroutes and model downgrades, monitor context consumption, analyze response quality, and improve prompts with a built-in rewriter. Everything runs locally in your browser, helping you understand how Claude actually performs without sending your conversations to external servers.

Does a similar job

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    Diet Claude — a usage meter for Claude that drains as you go and refills when your session resets. Crack open the can — free on the Chrome Web Store.

  • Claude Code Usage Monitor – real-time tracker to dodge usage cut-offs2025 · github.com · ▲245

    I kept slamming into Claude Code limits mid-session and couldn’t find a quick way to see how close I was getting, so I hacked together a tiny local tracker. Streams your prompt + completion usage in real time Predicts whether you’ll hit the cap before the session ends Runs 100 % locally (no auth, no server) Presets for Pro, Max × 5, Max × 20 — tweak a JSON if your plan’s different GitHub: https://github.com/Maciek-roboblog/Claude-Code-Usage-Monitor It’s already spared me a few “why did my run just stop?” moments, but it’s still rough around the edges. Feedback, bug…

  • CodeBurn – Analyze Claude Code token usage by taskApr 2026 · github.com · ▲112

    Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens. Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level. CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved). One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was…

  • My Claude quota ran out in 10 minutes, so I made a tool to find out whyAug 2026 · github.com · ▲88

    Ask Claude Code where your usage went. Token audit, limit diagnosis and usage forensics — built from the session logs already on your machine, nothing leaves it. - kelviq/tare

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