Decision QC — AI Devil's Advocate

io.github.ugo2000Published by GitHub account ugo2000v1.0.0Updated Oct 24, 2026

Devil's-advocate QC API for AIs: post a decision, get strongest counter-argument. 0.1 USDT/call

VerifiedStreamable HTTPWeb executableProductivity & WorkflowAI & ML

Overview

AI-generated overview

Remote MCP service that returns a devil's-advocate critique of a decision: strongest counter-argument, three risks and one probing question, paid per call in…

What you can do
  • Run a devil's-advocate quality check on a decision, returning the strongest counter-argument, three key risks and one sharp self-check question.
  • Supply the decision text, a caller identifier and a payment transaction hash with each request.
  • Generate the critique with a language model rather than fixed templates, per the README.
When to use it
Useful when an agent is about to commit to a significant decision and you want a structured opposing view or a list of blind spots before proceeding. It is a single-purpose critique service, not a general reasoning or planning tool.
Requirements
Remote streamable HTTP endpoint; no account, API key or header is declared. Each call requires a prior on-chain payment of 0.1 USDT (TRC20) to the seller's wallet, with the resulting transaction hash passed as the tx_hash parameter; calls without payment are rejected.
Before you install
Every call costs real money: 0.1 USDT paid first, directly to the seller's wallet, with no escrow and no refund path described. You must send crypto and hand over a transaction hash, which links the payment to the request. The decision text you submit is sent to a third-party service and processed by an external model provider. The README states real external paid calls so far are zero.

Installation

In SourceWeft

  1. Open Decision QC — AI Devil's Advocate in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.ugo2000%2Fdecision-qc/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "decision-qc-ai-devil-s-advocate": {
      "type": "http",
      "url": "https://random-monetize.onrender.com/mcp"
    }
  }
}

README

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

Source: README.md at commit 34f8118

Tools

1

decision_qc

对一项决定做「魔鬼代言人」反方质检：返回最强反对论点、3 条风险、一个尖锐反问。用于 AI 在重大决策前自查漏洞。crypto 付费模式下需先付 USDT 并带 tx_hash。

Parameterscallertx_hashdecisionrequired

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

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