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Monitors OpenClaw AI agent token usage, costs, and anomalies in real time.

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Product memo

Clawwatcher provides essential observability for OpenClaw AI agents, directly addressing the pain point of unpredictable token spend. It offers real-time visibility into agent actions and costs, empowering users to prevent budget overruns and optimize AI resource utilization. This focused approach on a specific AI framework offers a clear value proposition for developers managing AI agent expenses.

For who
OpenClaw AI agent users
Solves what
Real-time monitoring of AI agent token usage, costs, and anomalies.
  • Token and cost tracking
  • Budget protection
  • Real-time alerts

Operator & company

Operators

1 person

Robin

Founder · Source-backed

X @robinbuilds_

Company

Founded

Feb 2026

HQ

United States

Operating model

Business model

Usage Based

Platform

Web app

Audience

Developers

Payments

Stripe

Product channels

Builder strategy

ProvenRadar analysis

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable

Source evidence

Current source facts supporting this analysis. They remain attributed and may be newer than the latest dossier refresh.

Evidence sources

About Clawwatcher Expand

Clawwatcher provides real-time monitoring for OpenClaw AI agents, giving users clear visibility into token usage and associated costs. It helps OpenClaw users track every token and dollar spent, catching anomalies before they impact the budget.

By focusing on a specific AI framework, Clawwatcher addresses the critical need for cost control and budget protection in AI agent operations. This allows developers and teams to manage their AI resources more effectively, ensuring predictable expenditures as their agent usage scales.

In their own words

AI agent observability, built for OpenClaw.

Get Started FreeView Demo›

See every token, trace every dollar, catch every anomaly, before your agents burn through your budget.

CTA: Get Started

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Commercial cues

Model
usage based
Free tier
Yes
Trial
Available

Pricing strategy

  • A free tier covers initial AI spend, encouraging adoption for new users.
  • Tiered pricing scales monthly fees directly with the volume of tracked AI.

Tech stack

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