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ClawWatcher

ClawWatcher AI Agent
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Overview

Real-time OpenClaw monitoring that breaks down token spend, actions, and cost per task so you can spot waste and optimize prompts.

ClawWatcher is a monitoring dashboard for OpenClaw that provides real-time visibility into what your agent is doing and what it costs. It focuses on cost transparency—tracking tokens (including input/output split), actions/tool calls, and dollars per task—so builders can identify inefficient prompts, expensive defaults, and workflows that burn budget unexpectedly. The product is positioned as a lightweight observability layer for OpenClaw usage and spend analysis to help teams reduce costs and debug agent behavior.

Autonomy level

4%

Reasoning: ClawWatcher is not an autonomous AI agent but rather a monitoring and observability dashboard for OpenClaw agents. It does not perform independent tasks or make autonomous decisions. Instead, it passively tracks and visualizes what other AI agents (OpenClaw) are doing in real-time. Its functionality is limited to cost transparency—monitoring token ...

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Some of the use cases of ClawWatcher:

  • Tracking per-task token usage and cost to find expensive prompts and workflows.
  • Understanding where spending goes by breaking down actions/tool calls and token splits.
  • Reducing OpenClaw operating costs by identifying 10–20x optimization opportunities.
  • Monitoring agent activity in real time to debug unexpected usage spikes.

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Popularity level: 41%

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