# agentbill

> agentbill — marketinglior-pixel-agentbill. Use this tool when you need to manage and optimize costs associated with AI agent usage, as it provides usage-based billing with a simple 3-line integration. It solves problems related to unpredictable AI expenses and helps track resource utilization. Ideal for developers and businesses looking to streamline their AI costs, with seamless integration via git.

Canonical page: https://skillsregistry.net/skills/marketinglior-pixel-agentbill  
JSON: https://api.skillsregistry.net/v1/skills/marketinglior-pixel-agentbill

## Description

See what each AI agent, client and job costs, in dollars at list price, and give any job a spend ceiling: preflight answers approved: false past it, and your code decides. An SDK and an HTTP API, not a proxy.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/marketinglior-pixel/agentbill)

## 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": "marketinglior-pixel-agentbill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marketinglior-pixel-agentbill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marketinglior-pixel-agentbill/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
