ClawMetry is a real-time observability and governance dashboard designed for monitoring and optimizing AI agents across 26 distinct runtimes.
Why it matters
Stork’s verdict on ClawMetry
ClawMetry reviewed by Stork AI · stork.ai/en/clawmetry-for-openclaw
API Available
overview
ClawMetry is an AI agent observability tool developed by ClawMetry that enables AI engineers, developers, and operations teams to monitor and govern AI agent runtimes. It provides real-time visibility into token costs, sub-agent activity, cron jobs, memory changes, and session history across 26 different AI agent runtimes, including Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Aider, Goose, OpenClaw, and NVIDIA NemoClaw.
features
ClawMetry provides a comprehensive suite of features for real-time monitoring and governance of AI agents, focusing on operational visibility and cost control.
use cases
ClawMetry is designed for various stakeholders involved in the development, deployment, and management of AI agents, offering tailored functionalities for each persona.
how to use
ClawMetry emphasizes a zero-configuration setup, allowing users to quickly deploy and begin monitoring their AI agents with minimal effort.
pip install clawmetry.clawmetry.pricing
ClawMetry operates on a freemium model, offering a free tier for basic monitoring and paid plans for expanded capabilities and runtime support.
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pip install clawmetry and immediate functionality.Similar Tools
ClawMetry differentiates itself in the AI observability landscape through its specialized focus on AI agent runtimes, zero-configuration setup, and comprehensive governance features.
Offers comprehensive tracing, logging, and analytics specifically designed for LLM applications and agents, with a strong focus on developer experience.
Langfuse provides a robust open-source solution with a strong community, offering similar tracing and monitoring capabilities to ClawMetry. While it might not explicitly list '26 AI agent runtimes,' its framework-agnostic approach allows integration with most LLM agents, requiring some manual setup compared to ClawMetry's potentially out-of-the-box integrations for specific runtimes.
Specializes in monitoring and managing LLM API calls, offering features like caching, retries, and cost optimization alongside observability.
Helicone excels at API-level monitoring and cost management for LLMs, which overlaps with ClawMetry's observability. However, its focus is more on the API interaction rather than deep, real-time governance of diverse agent runtimes, meaning it might require more custom integration for complex multi-agent workflows compared to ClawMetry's broader agent runtime support.
Provides a unified API for over 100 LLM providers, with built-in logging, monitoring, and cost tracking capabilities.
LiteLLM offers a programmatic way to route and observe LLM calls across many providers, similar to ClawMetry's runtime support. While it provides logging and basic monitoring, it's more of a proxy/router with observability features rather than a dedicated real-time agent governance platform, meaning you might need to build more of the 'governance' layer yourself.
Focuses on evaluating and tracking the performance and quality of LLM applications and agents, providing insights into their behavior and outputs.
Trulens offers strong capabilities for evaluating and tracking LLM agent performance and quality, which complements ClawMetry's real-time observability. While it provides deep insights into agent behavior and output quality, it's more focused on evaluation and less on the real-time operational monitoring and governance of diverse agent runtimes that ClawMetry emphasizes.
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