Open-source observability for AI agents, tracking costs and activity in real time.
Product memo
ClawMetry provides real-time observability for AI agents, giving developers visibility into token costs, sub-agent activity, and potential budget overruns. It focuses on immediate, actionable insights into AI agent behavior, addressing a key pain point for builders concerned about spiraling costs and lack of control. The product differentiates itself with an E2E encrypted, zero-config approach that ensures data privacy and ease of use, particularly for those building with frameworks like OpenClaw.
For who
AI developers and builders
Solves what
Real-time observability and cost tracking for AI agents.
- Live agent activity monitoring
- Token cost attribution
- Budget alerts
In their own words
Know what your agents are doing. Right now.
Your AI agents spawn sub-agents, burn tokens, call tools. You can't see what they're doing or what you're paying for. ClawMetry shows you in real-time, ties every token to the task that spent it, and flags runaway loops before they blow the budget.
Open source observability for OpenClaw: token costs, session drift, memory alerts. Nothing leaves your machine.
Commercial cues
Model
subscription
Free tier
Yes
Trial
7d
Pricing Strategy
- • Unlimited nodes on paid plans remove friction for growing teams.
- • Annual billing offers savings, encouraging longer-term commitment.
- • 7-day trial lowers adoption risk.
Operator context
Operating setup
Team
VC / larger team
LLM classification
Founded
Feb 2026
HQ
United States
Platform
Web app
Audience
Developers
Social footprint
Tech stack
Market demand
ClawMetry Cloud keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About ClawMetry Cloud Expand
ClawMetry provides critical real-time observability for AI agents, giving developers the tools to monitor sub-agent activity and track token costs. It targets AI builders, especially those working with frameworks like OpenClaw, who need clear insights into their agent's performance and budget.
The product's open-source nature, combined with end-to-end encrypted data and zero-configuration setup, positions it as a privacy-first product. This focus on immediate, actionable data helps developers manage potential budget overruns and maintain control over their AI agent deployments.