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ClawMetry for OpenClaw Review

ClawMetry for OpenClaw is a real-time observability dashboard designed for monitoring AI agents, particularly those built with the OpenClaw framework.

shipped Feb 19, 2026aifreemium
ai
ClawMetry for OpenClaw — product screenshot

Why it matters

1Supports 12 distinct AI agent runtimes, including OpenClaw and NVIDIA NemoClaw.
2Achieved over 480,000 installations across 100+ countries as of June 2026.
3Holds ISO 27001, ISO 27701, ISO 27018, and SOC 2 Type II certifications.
4Launched in March 2026, gaining significant user adoption.

Stork’s verdict on ClawMetry for OpenClaw

ClawMetry delivers granular real-time observability for agents, but it's primarily for agentic workflows, not broader LLM apps.

Stork Quadrant

Becomes the API· 38/100

Replaceable as a UI, but kept alive as the API the agents call.

“An observability dashboard for AI agents is a thin UI layer over log ingestion and visualization — both of which LLMs and commodity tools already handle. There is no proprietary data, no network effect, no liability ownership. This will get absorbed by whatever platform hosts the agents.”

— Claude Sonnet 4.6, scored 2026-05-30

Defensibility · 0/100

  • Physical-world coupling
  • Regulatory moat
  • Network liquidity
  • Proprietary refreshing data
  • High-trust catastrophic workflows
  • Multi-party coordination
  • Brand / community / taste

An LLM alone could replace

  • Summarize agent run logs and surface anomalies
  • Generate charts and dashboards from structured telemetry data
  • Explain why an AI agent failed or behaved unexpectedly
  • Write alerting rules and thresholds for agent performance metrics

Agent-Readiness · 85/100

  • Verified MCP— Stork MCP listing: cloudflare-mcp (confirmed)
  • Listed on agent surfaces— anthropic_directory, cursor + Stork:cloudflare-mcp
  • Usage-based pricing— pricing page heuristic match: https://www.cloudflare.com/pricing
  • Headless agent auth
  • Public OpenAPI— https://docs.cloudflare.com/openapi.json
  • Active changelog— https://www.cloudflare.com/blog (2026-05-26)
  • llms.txt— https://www.cloudflare.com/llms.txt

Score history · +20 pts over 2 re-scores

How to defend

Become the coordination layer between agent runs and the humans who approve or halt them — own the human-in-the-loop workflow with audit trails and sign-off records that carry liability weight. Alternatively, go deep on a regulated vertical like healthcare or finance where observability logs must meet compliance standards and someone has to sign off on them.

  • Expose API-key auth with a self-serve sandbox tier; remove sales-call gates (+15).
How this score is computed →See the full quadrantHow to defend

About ClawMetry for OpenClaw

Headquarters
paris

overview

What is ClawMetry for OpenClaw?

ClawMetry for OpenClaw is a real-time observability dashboard tool developed by Cloudflare that enables AI developers, data scientists, and operations teams to monitor and optimize OpenClaw AI agents. It provides granular visibility into agent behavior, interactions, and resource usage, including token cost tracking and full chain tracing. Functioning as a specialized monitoring solution, ClawMetry offers a single-screen dashboard to visualize and analyze AI agent activities, supporting debugging, performance analysis, and operational oversight for complex multi-agent systems. The tool was launched in March 2026 and has since expanded its support to 12 different AI agent runtimes.

features

Key Features of ClawMetry for OpenClaw

ClawMetry for OpenClaw provides a comprehensive suite of features designed to offer deep insights and control over AI agent operations, ensuring both performance optimization and compliance with industry standards.

  • Real-time observability dashboard for OpenClaw AI agents and sub-agents.
  • Granular token cost tracking by model and session for expense optimization.
  • Full chain tracing of agent interactions, context, tool-call logs, and session histories.
  • Operational oversight including cron job monitoring, system health (e.g., disk usage), and failure alerts.
  • Tamper-evident audit logs and secret redaction for sensitive data.
  • Security features allowing users to gate destructive actions (e.g., force pushes, database mutations) behind one-click sign-off approvals.
  • Support for 12 distinct AI agent runtimes, including OpenClaw, NVIDIA NemoClaw, and OpenAI Codex.
  • Compliance with ISO 27001, ISO 27701, ISO 27018, and SOC 2 Type II certifications.
  • End-to-end encryption for remote monitoring of OpenClaw agents.

use cases

Who Should Use ClawMetry for OpenClaw?

ClawMetry for OpenClaw is primarily utilized by professionals and teams involved in the development, deployment, and operation of AI agents, particularly those requiring detailed operational visibility and adherence to compliance standards.

  • AI Developers: For debugging complex multi-agent interactions, analyzing agent performance, and understanding execution flows.
  • Data Scientists: To gain immediate insight into agent actions, optimize resource usage, and track token costs by model and session.
  • Operations Teams: For monitoring cron jobs, system health, active sub-agents, and receiving timely failure alerts.
  • Organizations Requiring Compliance: To store tamper-evident audit logs, ensure data security through secret redaction, and support regulatory compliance for AI deployments.

how to use

How to Use ClawMetry for OpenClaw

ClawMetry for OpenClaw is designed for straightforward installation and zero-configuration setup, enabling users to quickly begin monitoring their AI agents across various operating systems.

  • 1Install ClawMetry using a single command: pip install clawmetry.
  • 2Launch the ClawMetry dashboard, which typically requires zero additional configuration.
  • 3Connect and configure OpenClaw AI agents or other supported runtimes for real-time data ingestion.
  • 4Utilize the dashboard to visualize agent activities, interactions, token costs, and full chain traces.
  • 5Set up alerts for operational oversight, cron job failures, and system health metrics.
  • 6Access remote monitoring capabilities via any browser or a native Mac menu bar app for continuous agent supervision.

pricing

ClawMetry for OpenClaw Pricing & Plans

ClawMetry for OpenClaw operates on a freemium business model, providing users with access to core observability features without an initial cost. Specific details regarding potential paid tiers or advanced feature pricing are not publicly detailed beyond the availability of a free tier.

  • Freemium: A free tier is available, offering core real-time observability features for AI agents.

Pros

  • +Provides real-time, granular observability for AI agents, including sub-agent interactions and thoughts.
  • +Offers broad compatibility, supporting 12 different AI agent runtimes.
  • +Features easy one-command installation (pip install clawmetry) and zero-configuration setup.
  • +Ensures high data security and privacy standards with ISO 27001, 27701, 27018, and SOC 2 Type II certifications.
  • +Enables cost optimization through detailed token cost tracking by model and session.
  • +Includes security features such as gating destructive actions and secret redaction for sensitive data.

Cons

  • −Primarily focused on AI agent observability, potentially less comprehensive for broader LLM application monitoring beyond agentic workflows.
  • −Specific integration depth and feature parity may vary across the 12 supported runtimes.
  • −Publicly available information does not detail advanced evaluation frameworks, which some competitors offer.
  • −Limited public information on specific features or pricing for potential paid tiers beyond the freemium model.
  • −The developer is inferred from compliance data and URL, not explicitly stated in all public sources.

Similar Tools

ClawMetry for OpenClaw vs Competitors

ClawMetry for OpenClaw occupies a specialized niche in AI observability, focusing on real-time monitoring for AI agents, particularly within the OpenClaw ecosystem, while competing with broader and more specialized platforms.

1
LangSmithOn StorkCompare

LangSmith provides full-stack tracing that captures the 'internal monologue' of agents, including tool calls and document retrieval, with integrated evaluation.

LangSmith offers comprehensive tracing and evaluation specifically for AI agents and LLMs, similar to ClawMetry's focus on real-time observability for AI agents. It provides a freemium model and deep integration with the LangChain framework.

2
LangfuseOn StorkCompare

Langfuse is an open-source LLM engineering platform providing observability, metrics, evaluation, and prompt management, with strong support for tracing agentic workflows.

Langfuse is an open-source alternative to ClawMetry, offering similar real-time observability and evaluation capabilities for LLM applications and agents. Its open-source nature might appeal to users looking for self-hosting options, contrasting with ClawMetry's likely SaaS freemium model.

3
Braintrust↗

Braintrust integrates evaluation directly into agent observability, offering comprehensive trace capture, automated scoring, and real-time monitoring.

Braintrust is a commercial platform that strongly emphasizes evaluation-driven observability for AI agents, directly competing with ClawMetry's real-time observability dashboard by offering advanced analytical capabilities and automated quality monitoring.

4
Galileo AIOn StorkCompare

Galileo AI delivers enterprise-grade agent monitoring with purpose-built evaluation models (Luna-2) and runtime protection, focusing on debugging complex production failures.

Galileo AI provides specialized agent monitoring with a strong focus on evaluation and runtime protection, offering a more enterprise-focused solution compared to ClawMetry, particularly with its advanced evaluation models and interactive agent graph for debugging.

5
Fiddler AIOn StorkCompare

Fiddler AI offers a unified platform for testing, observability, guardrails, and governance across traditional ML models and generative AI, with a focus on building trust and compliance.

Fiddler AI provides a broader enterprise-grade AI observability and security platform, encompassing governance and compliance features beyond just real-time dashboards. While ClawMetry focuses on observability for OpenClaw agents, Fiddler AI offers a more comprehensive solution for diverse AI deployments, including LLMs and traditional ML.

Visit ClawMetry for OpenClaw↗

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