⚡ x402-cleanweb-agent

Turn any messy webpage, YouTube video, or PDF paper into pure, LLM-ready clean Markdown on Polygon.
Zero Sign-up. Zero Subscriptions. True Machine-to-Machine HTTP 402 Micropayments for Autonomous AI Agents.

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💡 Why x402-cleanweb-agent?

Traditional web scraping and data extraction APIs force expensive $49/month subscriptions and complex API key management.

x402-cleanweb-agent solves this for autonomous AI agents, scrapers, and developers:

• ❌ No Monthly Subscriptions: Pay only for what you query ($0.005 ~ $0.05 per call in USDC).
• ❌ No Sign-ups or API Keys: Native HTTP 402 Payment Required machine-to-machine protocol.
• 🤖 Zero-Human AI Agent Ready: AI agents with a crypto wallet can autonomously buy data 24/7.
• ⚡ Sub-Second Speed: Strips ads, tracking scripts, and clutter, returning pure, structured Markdown.
• 🪙 Ultra-Low Gas Fees: Powered by Polygon PoS (< $0.005 network gas).
• 📊 Token Savings Engine: Calculates raw vs. cleaned token reduction (avg. 60~85% savings) and estimated LLM prompt cost savings ($).

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🚀 Live Demo & Service Endpoints

• 🌐 Web3 DApp UI: https://x402-cleanweb-agent.onrender.com
• 📚 Swagger API Docs: https://x402-cleanweb-agent.onrender.com/docs
• 📂 GitHub Repo: https://github.com/nohosa001-pixel/x402-cleanweb-agent

Service	Endpoint	Pricing	Output & Description
🌐 Clean Web	GET /api/v1/clean-web	0.01 USDC	Ad/Noise removal + AI-ready Markdown + Token Savings Analytics
🎬 YouTube Transcript	GET /api/v1/clean-youtube	0.02 USDC	Full video transcripts with timestamps formatted in Markdown
📑 PDF Paper & Report	GET /api/v1/clean-pdf	0.05 USDC	arXiv papers & earnings reports converted into structured Markdown
📝 Pure Plain Text	GET /api/v1/clean-text	0.005 USDC	Ultra-lightweight raw text extraction for fast vector indexing

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🤖 Zero-Human Autonomous AI Agent Integration & Tools

AI agents with a Polygon wallet (Private Key) can autonomously handle payment and data extraction with zero human intervention and built-in Budget Guard protection:

1. Ready-to-Use Agent Toolkit (CrewAI / smolagents / LangChain)

from agent_tools import get_x402_agent_tools, X402AgentToolkit

# 1. Initialize toolkit with spending limits
toolkit = X402AgentToolkit(
    private_key="0xYOUR_AGENT_PRIVATE_KEY",
    max_daily_budget_usdc=1.0  # Budget Guard protects against infinite loops
)

# 2. Get ready-to-use callable tools
tools = toolkit.get_tools_list()

# 3. Direct execution
web_data = toolkit.clean_web("https://example.com/article")
yt_data = toolkit.clean_youtube("https://www.youtube.com/watch?v=dQw4w9WgXcQ")
pdf_data = toolkit.clean_pdf("https://arxiv.org/pdf/2301.00001.pdf")

# 4. Inspect spending report
print(toolkit.get_spending_report())

2. Machine-Readable Agent Discovery Protocol

Autonomous agents and crawlers can discover services, pricing, and on-chain payment contracts dynamically:

• Agent Manifest: GET https://x402-cleanweb-agent.onrender.com/.well-known/agent.json
• Real-time Pricing Catalog: GET https://x402-cleanweb-agent.onrender.com/api/v1/agent/pricing-catalog

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🛠️ How It Works (M2M Architecture)

sequenceDiagram
    autonumber
    actor Agent as Autonomous AI Agent
    participant Server as x402 Gateway (FastAPI)
    participant Polygon as Polygon Mainnet (Bor RPC)
    participant Scraper as AI Data Cleaning Engine

    Agent->>Server: GET /api/v1/clean-web?url=https://example.com
    Note over Server: Check X-Payment-Tx header
    Server-->>Agent: 402 Payment Required (Chain ID: 137, Recipient, Amount)
    
    Agent->>Polygon: Send USDC Transfer (e.g. 0.01 USDC)
    Polygon-->>Agent: Return Tx Hash (0xabc...123)
    
    Agent->>Server: GET /api/v1/clean-web?url=... with Header [X-Payment-Tx: 0xabc...123]
    Server->>Polygon: Verify Receipt, Event Logs, Recipient & Nonce
    Polygon-->>Server: Tx Confirmed (Status: 1)
    
    Server->>Scraper: Sanitize and Structure to Clean Markdown
    Scraper-->>Server: Return Clean Markdown + Token Analytics
    Server-->>Agent: 200 OK (Clean Markdown & Analytics JSON)

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⚡ Direct cURL Quickstart

# Step 1: Query without payment to inspect 402 payment requirements
curl -i -X GET "https://x402-cleanweb-agent.onrender.com/api/v1/clean-web?url=https://example.com"

# Step 2: After sending USDC on Polygon, query with transaction hash
curl -X GET "https://x402-cleanweb-agent.onrender.com/api/v1/clean-web?url=https://example.com" \
  -H "X-Payment-Tx: 0x<YOUR_POLYGON_TX_HASH>"

Sample Response

{
  "status": "success",
  "service": "clean-web",
  "source_url": "https://example.com",
  "title": "Example Domain",
  "markdown_content": "# Example Domain\n\nThis domain is for use in illustrative examples...",
  "token_analytics": {
    "raw_html_estimated_tokens": 1250,
    "clean_markdown_estimated_tokens": 280,
    "tokens_saved": 970,
    "token_savings_percentage": "77.6%",
    "estimated_llm_cost_saved_usd": "$0.0029"
  },
  "processing_time_seconds": 0.38
}

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🔌 Model Context Protocol (MCP) Setup

Option 1: 1-Click Auto Installer (Recommended)

Automatically configures Claude Desktop & Cursor without editing JSON files:

# Windows
install_mcp.bat

# macOS / Linux
python install_mcp.py

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Option 2: Run via uvx (No installation needed)

Add directly to your claude_desktop_config.json or Cursor:

{
  "mcpServers": {
    "polygon-x402-cleanweb": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/nohosa001-pixel/x402-cleanweb-agent", "x402-agent"]
    }
  }
}

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Option 3: Manual Local Configuration

{
  "mcpServers": {
    "polygon-x402-cleanweb": {
      "command": "python",
      "args": ["-u", "/absolute/path/to/x402-micro-agent/mcp_server.py"],
      "env": {
        "PYTHONUNBUFFERED": "1",
        "POLYGON_RPC_URL": "https://polygon-bor-rpc.publicnode.com",
        "SERVER_WALLET_ADDRESS": "0x255F9991233f86B29dB847c8d5b8CB9915e80dCf",
        "USDC_CONTRACT_ADDRESS": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359"
      }
    }
  }
}

Exposed MCP Tools

• get_payment_info(): Retrieve pricing tiers and recipient address.
• fetch_clean_markdown(url, payment_tx_hash): Clean Web scraper (0.01 USDC).
• fetch_youtube_transcript(url, language, payment_tx_hash): YouTube transcript extractor (0.02 USDC).
• fetch_pdf_markdown(url, payment_tx_hash): PDF research paper converter (0.05 USDC).
• fetch_plain_text(url, payment_tx_hash): Lightweight text scraper (0.005 USDC).

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🛠️ Local Development & Running

# 1. Clone repository
git clone https://github.com/nohosa001-pixel/x402-cleanweb-agent.git
cd x402-cleanweb-agent

# 2. Setup virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Start local server
python main.py
# Server running at: http://localhost:8000

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📜 On-Chain Contract & Network Details

• Network: Polygon Mainnet (Chain ID: 137)
• Token Contract (USDC): 0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359
• Recipient Treasury: 0x255F9991233f86B29dB847c8d5b8CB9915e80dCf
• Standard: HTTP 402 Payment Required

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🤝 Contributing & License

Contributions and suggestions are welcome!
Feel free to open an issue or pull request on GitHub: https://github.com/nohosa001-pixel/x402-cleanweb-agent/issues

Distributed under the MIT License.