Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
AgentPulse tracks LLM API calls made by your agent, recording costs, token counts, latency, and errors. Data is sent to a real-time dashboard at agentpulse.dev. Cost is calculated server-side against an up-to-date pricing table covering 50+ models across Anthropic, OpenAI, Google, MiniMax, DeepSeek, and Mistral.
Cost is calculated server-side using a maintained pricing table, so you don't need to track per-model pricing yourself or write custom logging code.
When to use it
- Checking daily or weekly API spend across models
- Identifying which model is driving the most cost
- Reviewing error rates and failed API calls
- Monitoring average response latency over time
- Setting alerts when daily spend exceeds a budget
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: How much have I spent this week?
- 1Call GET https://agentpulse.dev/api/stats/overview with the API key
- 2Parse the JSON response for daily_stats and total_cost fields
- 3Sum costs from daily_stats entries covering the past 7 days
- 4Present the weekly total and a per-day breakdown to the user
This week you spent $4.32 across 847 API calls. Monday was your heaviest day at $1.10, mostly from claude-sonnet-4-5.
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.