Polygon X402 AI Data 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.

PyPI version Glama.ai Smithery Live Web3 DApp Swagger API Polygon Web3 License: MIT

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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:

• 📦 PyPI Distributed: pip install x402-cleanweb-agent or zero-install with uvx x402-cleanweb-agent.
• ❌ No Monthly Subscriptions: Pay only for what you query ($0.005 ~ $0.05 per call in USDC).
• ❌ No Sign-ups or API Keys: Native HTTP 402 Payment Required machine-to-machine protocol.
• 🤖 Zero-Human AI Agent Ready: AI agents with a crypto wallet can autonomously buy data 24/7.
• 🧠 Self-Healing Error Handling: Structured JSON actionable responses for automatic recovery on payment failure.
• 📦 Batch Multi-URL Scraping: Concurrently scrape up to 10 URLs in 1 transaction.
• ⚡ 0.01s LRU In-Memory Cache: Zero latency on repeated queries.
• 📊 Token Savings Engine: Calculates raw vs. cleaned token reduction (avg. 60~85% savings) and estimated LLM prompt cost savings ($).

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🚀 Live Demo & Service Endpoints

• 📦 PyPI Package: https://pypi.org/project/x402-cleanweb-agent/
• 🌐 Web3 DApp UI: https://x402-cleanweb-agent.onrender.com
• 📑 LLM Documentation: https://x402-cleanweb-agent.onrender.com/llms.txt
• 📚 Swagger API Docs: https://x402-cleanweb-agent.onrender.com/docs
• 🤖 Agent Manifest: https://x402-cleanweb-agent.onrender.com/.well-known/agent.json

Service	Endpoint	Pricing	Output & Description
🌐 Clean Web	GET /api/v1/clean-web	0.01 USDC	Ad/Noise removal + AI-ready Markdown + Token Savings Analytics
📦 Batch Clean	POST /api/v1/batch-clean	0.01 / URL	Up to 10 URLs parallel batch scraping in 1 on-chain transaction
🎬 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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📦 Quick Installation

# Standard installation from PyPI
pip install x402-cleanweb-agent

# Or run instantly without installation via uvx
uvx x402-cleanweb-agent

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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

from agent_tools import 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 runaway costs
)

# 2. Clean single webpage
web_data = toolkit.clean_web("https://news.ycombinator.com", density="compact")

# 3. Batch clean multiple URLs in parallel (1 transaction)
batch_data = toolkit.batch_clean([
    "https://polygon.technology",
    "https://ethereum.org"
])

# 4. Extract YouTube transcript with timestamps
yt_data = toolkit.clean_youtube("https://www.youtube.com/watch?v=dQw4w9WgXcQ")

# 5. Extract PDF paper
pdf_data = toolkit.clean_pdf("https://arxiv.org/pdf/2301.00001.pdf")

# 6. Check spending report
print(toolkit.get_spending_report())

2. Integration with AI Agent Frameworks

CrewAI

from crewai import Agent
from agent_tools import get_x402_agent_tools

tools = get_x402_agent_tools(private_key="0xYOUR_AGENT_KEY")
researcher = Agent(
    role="Web Data Researcher",
    goal="Extract token-optimized clean web data and transcripts autonomously with Polygon micropayments",
    tools=tools,
    verbose=True
)

LangChain / smolagents / AutoGen

from agent_tools import X402AgentToolkit

toolkit = X402AgentToolkit(private_key="0xYOUR_AGENT_KEY")
tools = toolkit.get_tools_list()  # Standard Python Callables
openai_schemas = toolkit.get_openai_function_schemas()  # OpenAI Tool Call Schemas

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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 (Actionable JSON Fix)
    
    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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🔌 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 mcp.json:

{
  "mcpServers": {
    "polygon-x402-cleanweb": {
      "command": "uvx",
      "args": ["x402-cleanweb-agent"],
      "env": {
        "POLYGON_RPC_URL": "https://polygon-bor-rpc.publicnode.com"
      }
    }
  }
}

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_batch_clean_markdown(urls, payment_tx_hash): Concurrent Multi-URL batch scraper (0.01 USDC / URL).
• 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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📜 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.