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random-monetize

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自治 M2M 变现体

MCP ServersOfficial Registry0 stars0 forksPythonUpdated yesterday
ClaudeWave Trust Score
65/100
· OK
Passed
  • Actively maintained (<30d)
  • Topics declared
  • Documented (README)
Flags
  • !No standard license detected
Last scanned: 8/19/2026
Install in Claude Code / Claude Desktop
Method: pip / Python · -r
Claude Code CLI
claude mcp add random-monetize -- python -m -r
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "random-monetize": {
      "command": "python",
      "args": ["-m", "-r"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install -r
Use cases

MCP Servers overview

# 决策质检 M2M API · Decision QC M2M API

> 一个由 AI 运营、面向其他 AI 的"魔鬼代言人"质检服务。你的 agent 做一个决定,它立刻给出最尖锐的反对意见——按次付费,USDT 实时结算。
> An AI-run "devil's advocate" QC service for other AIs. Your agent makes a decision; it returns the sharpest counter-argument. Pay-per-call, settled in USDT.

**English below.** 中文先。

---

## 这是什么 / What it is

你的 AI agent 在重大决定前,调一下这个接口,就能拿到一份结构化的"反对意见"——最强反驳、关键风险、一个该反问自己的问题。帮你(和你的 agent)少踩坑。

Before your AI agent commits to a big decision, call this endpoint to get a structured counter-argument: the strongest rebuttal, key risks, and one question you should ask yourself. Helps you (and your agent) avoid blind spots.

- 由 DeepSeek 驱动,真实生成反对意见(非模板)
- 每次调用 0.1 USDT(TRC20),先付款后服务(TRC20 最小充币 0.1 USDT,故单次调用即一次到账转账)
- 付款实时进卖方钱包,链上验真,不托管、不抽水
- 同时是 MCP server,支持被 Claude/Cursor/Cline 等客户端自动发现调用

Powered by DeepSeek (real generated counter-arguments, not templates). 0.1 USDT(TRC20) per call, pay-first. Payments land in the seller wallet in real time, verified on-chain, no escrow. Also an MCP server, discoverable by Claude/Cursor/Cline etc.

## 在线地址 / Live endpoint

```
https://random-monetize.onrender.com
```

落地页(中英文可切换):https://random-monetize.onrender.com/
Landing page (zh/EN toggle): https://random-monetize.onrender.com/

## 怎么调 / How to call

**REST(最简单)**
```bash
curl -X POST https://random-monetize.onrender.com/api/argue \
  -H "Content-Type: application/json" \
  -d '{"decision":"Quit my stable job to run a one-person company?","caller":"your-agent-id","tx_hash":"YOUR_USDT_TX_HASH"}'
```

**付款方式 / Payment**:先向卖方钱包转入 0.1 USDT(TRC20)(TRC20 最小充币额 0.1 USDT,单次即一笔到账),拿到交易哈希 `tx_hash` 再调。
**Payment**: first send 0.1 USDT(TRC20) to the seller wallet (TRC20 minimum deposit is 0.1 USDT per transfer, so one payment = one call), then call with the resulting `tx_hash`.

- 卖方收款钱包 / Seller wallet (TRC20): `TYxynR5V17FYB49osvU3rUkiD7vW2ov634`
- 单价 / Price: `0.1 USDT` per call(TRC20 最小充币 0.1 USDT)
- 不付钱直接调会被拒 / Without payment: rejected with `payment_required`

**MCP(标准,被 AI 客户端自动发现)**
端点 / Endpoint: `POST https://random-monetize.onrender.com/mcp`(protocol 2024-11-05)
工具 / Tool: `decision_qc`,参数 / params: `decision` / `caller` / `tx_hash`

**Python 嵌入你的 agent / Embed in your agent**
参考 `buyer_agent.py`——把里面的 `call_qc()` 嵌进你的工作流,每当 agent 要做决定先来质检。
See `buyer_agent.py` — embed `call_qc()` into your workflow; QC before every decision.

## 为什么值得接 / Why wire it in

- 你的 agent 做决定时多一双"反对的眼睛",少一次翻车
- 成本极低(0.1 USDT ≈ ¥0.72),比一次错误决策便宜太多
- 机器对机器,零人工,付完即用

Your agent gets a "second opposing eye" before deciding, for a tiny cost (0.1 USDT ≈ ¥0.72) — far cheaper than one bad call. Machine-to-machine, zero human in the loop.

## 诚实边界 / Honest note

服务、收款、付款链上验真、MCP 被发现通道已全部就绪。当前真实外部付费调用为 0 —— 这不是代码问题,是"还没被足够多的 agent 发现并使用"。如果你用了、觉得值,转发给也在跑 agent 的朋友就是最好的推广。

The service, payout, on-chain payment verification, and MCP discovery are all live. Real external paid calls are currently 0 — not a code issue, just "not yet discovered by enough agents". If you use it and find it useful, passing it to fellow agent-runners is the best promo.

---

## 本地运行 / Run locally

```bash
pip install -r requirements.txt   # 零依赖,仅标准库也可跑
export DEEPSEEK_API_KEY=你的key    # 不填则返回演示反对意见
python seller.py                   # 监听 0.0.0.0:8001
```

看账本 / View ledger: 浏览器开 http://127.0.0.1:8001/status
See ledger at http://127.0.0.1:8001/status

## 部署 / Deploy

已部署到 Render(render.yaml 在仓库根)。改完代码需在 Render 服务页点 Manual Deploy → Deploy latest commit 才生效(`git push` 不会自动部署)。
Deployed on Render (render.yaml at repo root). After pushing, click Manual Deploy → Deploy latest commit on Render (git push alone does not auto-deploy).

## 文件 / Files

- `seller.py`:决策质检 API + MCP server(卖方AI)
- `buyer_agent.py`:真实外部调用方模板,可嵌进你的 agent
- `requirements.txt`:零依赖(标准库即可);链上自动转账依赖见 `requirements-payout.txt`
- `smithery.yaml`:MCP 市场发布配置
- `render.yaml`:Render 部署配置
ai-agentapiautomationcryptodecision-makingllmmcpmcp-serverone-person-companypay-per-calltronusdt

What people ask about random-monetize

What is ugo2000/random-monetize?

+

ugo2000/random-monetize is mcp servers for the Claude AI ecosystem. 自治 M2M 变现体 It has 0 GitHub stars and its last recorded update is dated 2026-08-17.

How do I install random-monetize?

+

You can install random-monetize by cloning the repository (https://github.com/ugo2000/random-monetize) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is ugo2000/random-monetize safe to use?

+

Our security agent has analyzed ugo2000/random-monetize and assigned a Trust Score of 65/100 (tier: OK). See the full breakdown of passed checks and flags on this page.

Who maintains ugo2000/random-monetize?

+

ugo2000/random-monetize is maintained by ugo2000. The last recorded GitHub activity is dated 2026-08-17, with 0 open issues.

Are there alternatives to random-monetize?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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