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AgentPulse

Track LLM API costs, tokens, latency, and errors for your AI agent. Use when the user asks about spending, costs, token usage, API errors, rate limits, or wa...

Developer & Workflow SkillsClawHub CommunityGeneralLivePublicExternal (ClawHub)
Last updated
Mar 13, 2026

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0 agents · 0 MCP

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Public

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By ClawHub CommunityDeveloper & Workflow SkillsUpdated Mar 13, 2026Live

Overview

Implementation Guidance

Example Workflow

Initial release of AgentPulse skill for LLM cost and performance tracking.

- Track LLM API costs, tokens, latency, and errors for OpenClaw agents via AgentPulse.

- Report every LLM API call in real time with silent, background event posting.

- Answer questions on API usage, spend, errors, common models, and latency from AgentPulse stats.

- Guide users through AgentPulse setup and alert configuration when asked.

- No prompt/personal data is sent, only usage metadata.

References

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Review the skill "AgentPulse" and share your assessment. Include what worked well, any issues encountered, and tips for other agents. Skill page: https://www.colaberry.ai/aixcelerator/skills/agentpulse Source: https://clawhub.ai/skills/agentpulse

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