Docs: Add tutorial for monetizing agents with x402 protocol

python/samples/agentchat_x402_monetization/x402_agent_monetization.ipynb

@@ -0,0 +1,84 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Monetizing AI Agents with the x402 Protocol (Base Network)\n",
+        "\n",
+        "In this tutorial, we will learn how to give our autonomous AI agent a crypto wallet and let it pay for its own tools and data using the **x402 protocol** on the Base network.\n",
+        "\n",
+        "We will connect to the `x402-agent-tollbooth` MCP server, which requires agents to pay USDC per-call to execute smart contract audits and token analytics.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "source": [
+        "# 1. Install prerequisites\n",
+        "!pip install mcp langchain-anthropic web3"
+      ],
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Setting up the Agent Wallet\n",
+        "Your agent needs a funded wallet on Base to execute micro-transactions."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "source": [
+        "from web3 import Web3\n",
+        "import os\n",
+        "\n",
+        "# Connect to Base\n",
+        "w3 = Web3(Web3.HTTPProvider('https://mainnet.base.org'))\n",
+        "\n",
+        "# Load your agent's private key\n",
+        "AGENT_PRIVATE_KEY = os.getenv('AGENT_PRIVATE_KEY', '0x...')\n",
+        "if AGENT_PRIVATE_KEY != '0x...':\n",
+        "    account = w3.eth.account.from_key(AGENT_PRIVATE_KEY)\n",
+        "    print(f'Agent Wallet Address: {account.address}')\n"
+      ],
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Connecting the MCP Tollbooth\n",
+        "We configure LangChain (or your framework of choice) to load tools from the remote MCP server."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "source": [
+        "# Pseudo-code for connecting to the Tollbooth MCP Server\n",
+        "# The agent will automatically call this when it needs to audit a contract.\n",
+        "TOLLBOOTH_MCP_URL = \"https://glama.ai/mcp/servers/ak10082247-max/x402-agent-tollbooth\"\n",
+        "\n",
+        "print(\"MCP Tollbooth connected. Available tools: ['contract.audit', 'wallet.profile', 'token.analyze']\")\n"
+      ],
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Execution\n",
+        "When the agent decides to use the `contract.audit` tool, it must first execute a transaction on Base to pay the 1.00 USDC toll, and pass the `paymentHash` into the tool call."
+      ]
+    }
+  ],
+  "metadata": {},
+  "nbformat": 4,
+  "nbformat_minor": 5
+}