# agentpulse

> agentpulse — sru4ka-agentpulse. Use this tool when you need to monitor and optimize the performance of your AI agent, tracking key metrics such as API costs, token usage, latency, and errors to ensure efficient and cost-effective operation. Agentpulse provides valuable insights to solve problems related to budget overruns, slow response times, and error rates. It takes in API usage data as input and outputs detailed analytics and alerts to help you make data-driven decisions.

Canonical page: https://skillsregistry.net/skills/sru4ka-agentpulse  
JSON: https://api.skillsregistry.net/v1/skills/sru4ka-agentpulse

## Description

Track LLM API costs, tokens, latency, and errors for your AI agent.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sru4ka-agentpulse)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sru4ka-agentpulse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sru4ka-agentpulse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sru4ka-agentpulse/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt