@genesis-tech/x402-agentpad-sdk
v0.1.4
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Official TypeScript SDK for x402-Launch platform
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@genesis-tech/x402-agentpad-sdk
Official TypeScript SDK for building AI-powered trading agents on x402 AgentPad.
Features
- 🤖 Autonomous AI Agents - Build agents that make trading decisions using natural language
- 💰 No API Keys Required - Uses x402 payment protocol for AI service (wallet-based payments)
- ⚖️ Risk Management - Built-in position limits, stop losses, and balance monitoring
- 🔄 Complete Trading API - Launch, buy, sell tokens programmatically
- ⚡ Dual Execution Modes - Gasless (no ETH needed) or Self-Execute (lower fees)
- 📊 Real-time Monitoring - Lifecycle hooks for tracking agent decisions and performance
- 🎯 Strategy Templates - Pre-built strategies (Conservative, Momentum, Token Launcher, etc.)
- 🔀 Multi-Model Support - Access 100+ AI models via OpenRouter (GPT-4, Claude, Llama, etc.)
- 🧠 Agent Memory - Learns from past actions to avoid repeating mistakes
Installation
npm install @genesis-tech/x402-agentpad-sdk
# or
pnpm add @genesis-tech/x402-agentpad-sdkQuick Start
1. Setup Environment
cp .env.example .env
# Edit .env and add your private key2. Run an Agent
import { AgentRunner, AgentConfig } from '@genesis-tech/x402-agentpad-sdk';
const config: AgentConfig = {
agentId: 'my-trader',
initialPrompt: 'Trade conservatively. Buy high volume tokens, sell at +15% profit.',
maxPositionSizeUSDC: '5000000', // 5 USDC
maxPositions: 3,
reviewIntervalMs: 300000, // 5 minutes
};
const runner = new AgentRunner(config, process.env.AGENT_PRIVATE_KEY!);
await runner.start();3. Try the Examples
# Auto-detect execution mode (based on ETH balance)
pnpm run example
# Force gasless mode (no ETH needed, 2 USDC per trade)
pnpm run example:gasless
# Force self-execute mode (requires ETH, 0.5 USDC per trade)
pnpm run example:self-execute
# Multi-agent battle simulation
pnpm run example:battleStrategy Templates
Use pre-built strategies or create your own:
import { AgentRunner, getStrategyTemplate, STRATEGY_TEMPLATE_LIST } from '@genesis-tech/x402-agentpad-sdk';
// Use a pre-built strategy
const template = getStrategyTemplate('token-launcher');
const config = {
agentId: 'my-launcher',
...template, // Includes prompt and recommended config
};
// Available templates:
// - 'conservative-holder' - Long-term holding, capital preservation
// - 'momentum-trader' - Follow trends, quick exits
// - 'dip-buyer' - Buy oversold tokens
// - 'new-launch-hunter' - Snipe new tokens early
// - 'token-launcher' - Launch and trade your own tokens
// - 'dividend-collector' - Focus on dividend yields
// - 'yolo-scalper' - High risk, high reward scalpingAgent Configuration
interface AgentConfig {
agentId: string; // Unique ID
name?: string; // Display name
initialPrompt: string; // Trading strategy in natural language
maxPositionSizeUSDC: string; // Max USDC per trade (6 decimals)
maxPositions: number; // Max concurrent positions
reviewIntervalMs: number; // How often to review (milliseconds)
// AI Model (Optional - defaults to x402 service)
modelProvider?: 'x402'; // Uses x402 AI service (recommended)
modelName?: string; // e.g., 'openai/gpt-4o-mini', 'anthropic/claude-3.5-sonnet'
modelApiUrl?: string; // Custom AI service URL
// Risk Management (Optional)
minBalanceUSDC?: string; // Min balance to continue
workingHoursStart?: number; // 0-23 (default: 24/7)
workingHoursEnd?: number; // 0-23 (default: 24/7)
// Execution mode
executionMode?: 'auto' | 'gasless' | 'self-execute'; // Default: 'auto'
// Lifecycle hooks for monitoring
onStart?: () => Promise<void>;
onStop?: () => Promise<void>;
onError?: (error: Error) => Promise<void>;
onExecution?: (result: AgentExecutionResult) => Promise<void>;
onPhaseChange?: (phase: ExecutionPhase, details?: string) => Promise<void>;
}AI Models
The SDK uses the x402 AI service which provides access to 100+ models via OpenRouter. Popular choices:
const config = {
agentId: 'smart-trader',
initialPrompt: 'Your strategy...',
modelName: 'anthropic/claude-3.5-sonnet', // or any of these:
// 'openai/gpt-4o'
// 'openai/gpt-4o-mini' (fast & cheap)
// 'anthropic/claude-3-haiku' (fast)
// 'google/gemini-pro-1.5'
// 'meta-llama/llama-3.1-70b-instruct'
};No API keys needed! The x402 payment protocol handles AI costs automatically from your agent's USDC balance.
Execution Modes
Choose how your agent executes trades:
Auto (Recommended)
Automatically selects mode based on ETH balance:
- Has ETH (≥0.001) → Self-Execute (0.5 USDC per trade)
- No ETH → Gasless (2 USDC per trade)
Gasless (Premium)
- ✅ No ETH needed in agent wallet
- ✅ Backend executes transactions
- 💰 2 USDC per trade (higher fee)
- 🎯 Best for: Agents without ETH
Self-Execute (Economy)
- ✅ Lower fees (0.5 USDC per trade)
- ✅ Agent has full control
- ⚡ Requires ETH for gas (~0.002 ETH per trade)
- 🎯 Best for: Cost-conscious agents with ETH
const config: AgentConfig = {
executionMode: 'auto', // or 'gasless' or 'self-execute'
// ... other config
};Real-time Execution Phases
Track what your agent is doing in real-time:
const config: AgentConfig = {
onPhaseChange: async (phase, details) => {
console.log(`Phase: ${phase} - ${details}`);
// Phases: 'fetching_market', 'building_prompt', 'calling_ai',
// 'executing_action', 'recording_result', 'waiting', 'error'
},
};Monitoring Your Agent
Console Output
The agent automatically logs all activity:
🚀 x402 AgentPad - Autonomous Trading Agent
💰 Execution Mode: SELF-EXECUTE
ETH Balance: 0.0200 ETH
⚡ Using Self-Execute (Economy): Agent pays gas, 0.5 USDC per trade
✅ Agent started successfully!
═══════════════════════════════════════
📊 Execution #1763838540628:
Action: buy
Success: ✅
💭 Agent Reasoning:
Buying token with strong volume
📦 Execution Result:
Token Address: 0x...
TX Hash: 0x...
💰 Balance: 10.00 → 7.00 USDC
═══════════════════════════════════════Lifecycle Hooks
Add custom monitoring:
const config: AgentConfig = {
onExecution: async (result) => {
console.log(`Action: ${result.action}, Success: ${result.success}`);
// Save to database, send to monitoring service, etc.
await db.agentExecutions.create({
agentId: config.agentId,
action: result.action,
success: result.success,
timestamp: result.timestamp,
});
},
onError: async (error) => {
console.error(`Agent error:`, error);
await alerting.send(`Agent error: ${error.message}`);
},
};Manual Trading API
Use X402LaunchClient for manual trading (without AI agent):
import { X402LaunchClient } from '@genesis-tech/x402-agentpad-sdk';
const client = new X402LaunchClient({
wallet: { privateKey: process.env.AGENT_PRIVATE_KEY! },
executionMode: 'auto',
});
// Discover tokens
const { tokens } = await client.discoverTokens({
limit: 10,
sortBy: 'volume24h',
sortOrder: 'desc'
});
// Launch token
const launchResult = await client.launchToken({
name: 'My Token',
ticker: 'MTK',
description: 'My awesome token',
});
// Buy tokens
const buyResult = await client.buyTokens({
tokenAddress: '0x...',
usdcAmount: '5000000', // 5 USDC
});
// Sell tokens
const sellResult = await client.sellTokens({
tokenAddress: '0x...',
tokenAmount: '1000000000000000000', // 1 token
});
// Get balance
const balance = await client.getBalance();Environment Variables
# Required
AGENT_PRIVATE_KEY=0x...
# Optional (defaults shown)
BACKEND_API_URL=https://api.launch.x402agentpad.io
CHAIN_ID=84532
RPC_URL=https://sepolia.base.orgNetworks
Base Sepolia (Testnet)
- Chain ID: 84532
- RPC: https://sepolia.base.org
- USDC: 0x036CbD53842c5426634e7929541eC2318f3dCF7e
Base Mainnet
- Chain ID: 8453
- RPC: https://mainnet.base.org
- USDC: 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Examples
All examples are in the /examples directory:
agentpad-example.ts- Full flow test (launch → buy → sell)multi-agent-battle.ts- Two agents competingsell-all-tokens.ts- Utility to sell all tokens from a wallet
pnpm run example
pnpm run example:gasless
pnpm run example:battleSecurity
- Private Keys: Never commit to git. Use
.env(already in.gitignore) - API Keys: Not needed! x402 payment protocol handles AI service payments
- Wallet Funds: Agents can only spend funds in their wallet
Support
- GitHub Issues: Report bugs
- Documentation: See
/docsfolder - Examples: See
/examplesdirectory
License
MIT License - see LICENSE file
Build autonomous trading agents in minutes 🚀
