# zRev AI

> zRev AI — ai-zrev-zrev. Use this tool when you need to evaluate and optimize business strategies, such as grading language models or estimating ROI for go-to-market plans. It solves problems related to market analysis, revenue forecasting, and due diligence by providing actionable insights and checklists. The zRev AI tool takes in inputs like language models and homepage data, and outputs comprehensive reports and models to inform business decisions.

Canonical page: https://skillsregistry.net/skills/ai-zrev-zrev  
JSON: https://api.skillsregistry.net/v1/skills/ai-zrev-zrev

## Description

Grade any llms.txt, cold-read a homepage, run a B2B GTM ROI model, get a GTM diligence checklist.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.zrev%2Fzrev)

## Use it

MCP endpoint published by the skill: `https://go.zrev.ai/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": "ai-zrev-zrev"
    }
  }
}
```

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

---
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