# Agent Revenue Copilot

> Use this tool when you need to verify and optimize revenue routes for legal AI agents, solving problems related to payout inaccuracies and revenue leakage. The Agent Revenue Copilot takes MCP and x402 starter audits as input and provides verified revenue and payout outputs, streamlining the revenue verification process. Ideal for use in contexts where accurate revenue tracking and payout management are crucial.

Canonical page: https://skillsregistry.net/skills/io-github-olddun-agent-revenue-copilot  
JSON: https://api.skillsregistry.net/v1/skills/io-github-olddun-agent-revenue-copilot

## Description

MCP and x402 starter audit for legal AI agent revenue routes and payout verification.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Olddun%2Fagent-revenue-copilot)
- **Repository:** <https://github.com/Olddun/earn10-clawtasks-deliverables>

## Use it

MCP endpoint published by the skill: `https://doctors-lighting-facial-admissions.trycloudflare.com/agent-revenue-copilot/mcp`

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": "io-github-olddun-agent-revenue-copilot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-olddun-agent-revenue-copilot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-olddun-agent-revenue-copilot/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