ClawMetry Cloud

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See your OpenClaw agents' costs, activity & memory live

ClawMetry is a observability & governance layer for 21+ AI agent runtimes. It observes Claude Code, Codex, Cursor, Antigravity, Grok, Goose, OpenCode, OpenClaw, Hermes, PicoClaw, NanoClaw etc. Think Arize, but purpose-built for AI Agent runtimes. One command install (pip install clawmetry), zero config. Monitor token costs, sub-agent activity, cron jobs, memory changes, and session history. All in real-time with a beautiful live flow visualization. Works on macOS, Linux, Windows

Visit product View on Product HuntMar 18, 2026Developer Tools Artificial Intelligence Menu Bar Apps

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Actual performance

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Made the leaderboard

Traction signals

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, macos · Missing: model, apple, agentic

99%99% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

33%33% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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