Smart Agents: Autonomous Commerce with USDC
Overview
StateSet Commerce Network enables AI agents to transact autonomously using native USDC, creating a new paradigm for automated commerce. This guide covers how to build, deploy, and manage smart agents that can execute transactions, manage inventory, optimize pricing, and handle complex commercial workflows - all without human intervention.
Why Smart Agents on StateSet?
The Perfect Environment for Agent Commerce
- Native USDC: Agents transact in stable digital dollars
- No Gas Complexity: Fees paid directly in USDC
- Instant Settlement: Sub-second transaction finality
- Rich APIs: Comprehensive commerce modules
- Built-in Compliance: KYC/AML checks automated
- Programmable Logic: Smart contracts enforce boundaries
Quick Start: Your First Trading Agent
import { StateSetAgent, AgentWallet } from '@stateset/agent-sdk';
// Initialize an agent with spending limits
const agent = new StateSetAgent({
name: 'TradingBot-001',
wallet: new AgentWallet({
seed: process.env.AGENT_SEED,
spendingLimit: '10000.00', // Daily USDC limit
approvedContracts: ['stateset1abc...'] // Whitelisted contracts
}),
capabilities: ['trade', 'analyze', 'report']
});
// Agent autonomously executes trades
await agent.execute({
task: 'optimize_inventory',
parameters: {
targetMargin: 0.15,
maxOrderSize: '1000.00',
reorderPoint: 100
}
});
Architecture: How Agent Commerce Works
Core Concepts
1. Agent Wallets
Agent wallets are specialized accounts with built-in safety features:
const agentWallet = new AgentWallet({
// Hierarchical deterministic wallet for the agent
seed: generateSecureSeed(),
// Safety parameters
limits: {
perTransaction: '1000.00',
daily: '10000.00',
monthly: '100000.00'
},
// Allowed operations
permissions: {
allowedMethods: ['transfer', 'swap', 'stake'],
blockedAddresses: ['suspicious1...'],
requiresApproval: ['amount > 5000']
}
});
2. Agent Permissions
Fine-grained control over agent capabilities:
// Define agent boundaries
const permissions = {
// Financial limits
spending: {
max_per_tx: '5000.00',
max_daily: '25000.00',
require_2fa_above: '10000.00'
},
// Operational constraints
operations: {
can_create_orders: true,
can_modify_prices: true,
max_price_change: 0.10, // 10%
blackout_hours: [0, 6] // No trades 12am-6am
},
// Smart contract interactions
contracts: {
whitelist: ['dex_contract', 'lending_protocol'],
max_gas_per_tx: '1.00' // USDC
}
};
3. Agent State Management
Agents maintain state across transactions:
interface AgentState {
wallet: {
address: string;
balance: string; // USDC balance
nonce: number;
};
metrics: {
total_transactions: number;
total_volume: string;
success_rate: number;
profit_loss: string;
};
inventory: {
products: Product[];
total_value: string;
turnover_rate: number;
};
learning: {
model_version: string;
last_training: Date;
performance_score: number;
};
}
Use Cases
1. 🛒 E-Commerce Price Optimization
const pricingAgent = new StateSetAgent({
name: 'DynamicPricer',
type: 'pricing_optimizer'
});
// Agent monitors competitors and adjusts prices
pricingAgent.addStrategy({
name: 'competitive_pricing',
async execute(context) {
// Get competitor prices
const competitors = await context.fetchCompetitorPrices();
// Calculate optimal price
const optimalPrice = context.ml.calculatePrice({
competitors,
inventory: context.inventory,
demand: context.demandForecast,
targetMargin: 0.20
});
// Update price on StateSet
if (Math.abs(optimalPrice - context.currentPrice) > 0.50) {
await context.stateset.products.updatePrice({
sku: context.product.sku,
price: optimalPrice.toFixed(2),
reason: 'Competitive adjustment'
});
}
},
frequency: 'every 15 minutes',
limits: {
maxPriceChange: 0.15, // 15% max change
minMargin: 0.10 // 10% minimum margin
}
});
2. 💱 Arbitrage Trading
const arbitrageBot = new StateSetAgent({
name: 'ArbitrageHunter',
type: 'trading'
});
// Multi-DEX arbitrage scanner
arbitrageBot.addStrategy({
name: 'dex_arbitrage',
async execute(context) {
// Monitor price differences across DEXs
const opportunities = await context.scanArbitrage({
pairs: ['USDC/STATE', 'ATOM/USDC'],
minProfit: '10.00', // Minimum $10 profit
maxSlippage: 0.005 // 0.5% slippage tolerance
});
for (const opp of opportunities) {
// Calculate profit after fees
const netProfit = opp.profit - (opp.fees * 2);
if (netProfit > 10) {
// Execute arbitrage atomically
await context.executeArbitrage({
buyOn: opp.cheaperDex,
sellOn: opp.expensiveDex,
amount: opp.optimalAmount,
deadline: Date.now() + 30000 // 30 second deadline
});
}
}
},
frequency: 'continuous',
riskLimits: {
maxPositionSize: '5000.00',
maxOpenPositions: 3,
stopLoss: '100.00'
}
});
3. 📦 Supply Chain Automation
const supplyChainAgent = new StateSetAgent({
name: 'SupplyManager',
type: 'operations'
});
// Automated reordering system
supplyChainAgent.addStrategy({
name: 'auto_reorder',
async execute(context) {
const inventory = await context.stateset.inventory.list();
for (const item of inventory) {
// Check if reorder needed
if (item.quantity <= item.reorderPoint) {
// Calculate optimal order quantity
const orderQty = context.calculateEOQ({
demand: item.avgDailyDemand * 30,
orderCost: '50.00',
holdingCost: item.value * 0.20 / 365
});
// Find best supplier
const suppliers = await context.findSuppliers(item.sku);
const bestSupplier = context.selectSupplier(suppliers, {
criteria: ['price', 'delivery_time', 'reliability'],
weights: [0.4, 0.3, 0.3]
});
// Create purchase order
const po = await context.stateset.purchaseOrders.create({
supplier: bestSupplier.did,
items: [{
sku: item.sku,
quantity: orderQty,
price: bestSupplier.price
}],
terms: 'Net 30',
delivery: bestSupplier.estimatedDelivery
});
// Pay with USDC if early payment discount available
if (bestSupplier.earlyPayDiscount > 0.02) {
await context.stateset.orders.pay({
order_id: po.id,
amount: po.total * (1 - bestSupplier.earlyPayDiscount)
});
}
}
}
},
frequency: 'daily at 6am UTC'
});
4. 🤖 Customer Service Agent
const customerAgent = new StateSetAgent({
name: 'CustomerSupport',
type: 'service'
});
// Automated refund processing
customerAgent.addCapability({
name: 'process_refunds',
async execute(context, request) {
// Validate refund request
const order = await context.stateset.orders.get(request.orderId);
const validation = await context.validateRefund(order, request);
if (validation.approved) {
// Process instant USDC refund
const refund = await context.stateset.orders.refund({
order_id: order.id,
amount: validation.refundAmount,
reason: validation.reason,
items: validation.items
});
// Update customer record
await context.updateCustomerRecord({
customerId: order.customerId,
event: 'refund_processed',
amount: refund.amount,
satisfaction: request.satisfaction
});
return {
success: true,
refundId: refund.id,
message: `Refund of ${refund.amount} USDC processed successfully`
};
}
return {
success: false,
reason: validation.rejectionReason,
alternativeOptions: validation.alternatives
};
},
limits: {
maxRefundAmount: '500.00',
requiresHumanApproval: ['amount > 500', 'frequency > 3']
}
});
5. 💰 Yield Optimization
const yieldAgent = new StateSetAgent({
name: 'YieldOptimizer',
type: 'defi'
});
// Optimize idle USDC balances
yieldAgent.addStrategy({
name: 'optimize_treasury',
async execute(context) {
// Get current balance
const balance = await context.getUSDCBalance();
const reserves = balance * 0.20; // Keep 20% liquid
const deployable = balance - reserves;
if (deployable > 1000) {
// Analyze yield opportunities
const opportunities = await context.analyzeYield({
chains: ['stateset', 'osmosis', 'neutron'],
protocols: ['lending', 'liquidity', 'staking'],
minAPR: 0.05,
maxRisk: 'medium'
});
// Diversify across strategies
const allocation = context.optimizeAllocation({
amount: deployable,
opportunities,
constraints: {
maxPerProtocol: 0.40,
minLiquidity: 'daily',
targetAPR: 0.08
}
});
// Deploy capital
for (const alloc of allocation) {
await context.deployCapital({
protocol: alloc.protocol,
amount: alloc.amount,
duration: alloc.lockPeriod,
autoCompound: true
});
}
}
},
frequency: 'daily',
monitoring: {
checkHealth: 'hourly',
rebalanceThreshold: 0.05,
emergencyWithdraw: ['protocol_risk > high', 'apr_drop > 50%']
}
});
Advanced Features
Multi-Agent Systems
Deploy fleets of specialized agents working together:
const agentOrchestrator = new AgentOrchestrator({
agents: [
{ id: 'sourcing-01', type: 'procurement', budget: '50000.00' },
{ id: 'pricing-01', type: 'revenue', budget: '10000.00' },
{ id: 'logistics-01', type: 'fulfillment', budget: '20000.00' },
{ id: 'finance-01', type: 'treasury', budget: '100000.00' }
],
coordination: {
communicationProtocol: 'mesh', // Agents communicate directly
consensusRequired: ['budget > 10000', 'risk > medium'],
disputeResolution: 'voting'
}
});
// Agents collaborate on complex tasks
await agentOrchestrator.executeWorkflow({
name: 'new_product_launch',
steps: [
{ agent: 'sourcing-01', task: 'find_suppliers' },
{ agent: 'finance-01', task: 'analyze_unit_economics' },
{ agent: 'pricing-01', task: 'set_launch_price' },
{ agent: 'logistics-01', task: 'setup_fulfillment' }
]
});
Machine Learning Integration
Agents that learn and improve over time:
const mlAgent = new StateSetAgent({
name: 'SmartTrader',
ml: {
model: 'reinforcement_learning',
features: ['price', 'volume', 'sentiment', 'on_chain_metrics'],
training: 'continuous',
framework: 'tensorflow.js'
}
});
// Agent learns from outcomes
mlAgent.addLearningLoop({
async onTransactionComplete(tx, outcome) {
// Record outcome for training
await this.recordOutcome({
action: tx.action,
context: tx.context,
result: outcome,
reward: outcome.profit - outcome.costs
});
// Retrain if performance drops
if (this.performance.last100Trades < 0.6) {
await this.retrain({
epochs: 100,
batchSize: 32,
learningRate: 0.001
});
}
}
});
Risk Management Framework
Built-in risk controls for agent operations:
const riskFramework = {
// Position limits
positions: {
maxConcentration: 0.20, // Max 20% in one asset
maxLeverage: 1.0, // No leverage allowed
maxDrawdown: 0.10 // Stop at 10% loss
},
// Operational limits
operations: {
maxTransactionsPerHour: 100,
maxValuePerHour: '50000.00',
requiredConfirmations: 1
},
// Circuit breakers
circuitBreakers: [
{
condition: 'loss > 1000 USDC in 1 hour',
action: 'pause_all_trading'
},
{
condition: 'error_rate > 0.10',
action: 'alert_human_operator'
},
{
condition: 'unusual_activity_detected',
action: 'require_2fa'
}
]
};
Security Best Practices
1. Secure Key Management
// Use hardware security modules for production
const secureWallet = new AgentWallet({
keyStorage: 'hsm',
provider: 'aws-cloudhsm',
backupStrategy: 'shamir-secret-sharing',
threshold: 3,
shares: 5
});
// Rotate keys periodically
const keyRotation = {
frequency: 'monthly',
strategy: 'gradual', // Overlap old and new keys
notifyWebhook: 'https://api.company.com/key-rotation'
};
2. Transaction Verification
// Multi-signature requirements for large transactions
const multiSigPolicy = {
thresholds: [
{ amount: '1000.00', signatures: 1 },
{ amount: '10000.00', signatures: 2 },
{ amount: '100000.00', signatures: 3 }
],
signers: [
{ role: 'agent', weight: 1 },
{ role: 'risk_system', weight: 1 },
{ role: 'human_operator', weight: 2 }
]
};
3. Audit Logging
// Comprehensive audit trail
const auditLogger = new AuditLogger({
storage: 'immutable',
encryption: 'aes-256-gcm',
logEvents: [
'transaction_initiated',
'transaction_signed',
'transaction_broadcast',
'transaction_confirmed',
'balance_changed',
'permission_changed',
'error_occurred'
],
retention: '7 years',
export: {
format: 'json',
schedule: 'daily',
destination: 's3://audit-logs/'
}
});
Monitoring and Analytics
Real-Time Dashboards
// Monitor agent performance
const monitoring = new AgentMonitor({
metrics: [
'transaction_volume',
'success_rate',
'avg_response_time',
'profit_loss',
'gas_consumed'
],
alerts: [
{
metric: 'error_rate',
threshold: 0.05,
action: 'email'
},
{
metric: 'daily_loss',
threshold: '1000.00',
action: 'pause_agent'
}
],
dashboard: 'https://monitoring.company.com/agents'
});
// Track agent effectiveness
const analytics = await agent.getAnalytics({
period: 'last_30_days',
metrics: [
'total_transactions',
'volume_traded',
'fees_paid',
'net_profit',
'success_rate',
'avg_execution_time'
]
});
console.log(`
Agent Performance Report:
- ROI: ${analytics.roi}%
- Win Rate: ${analytics.winRate}%
- Sharpe Ratio: ${analytics.sharpeRatio}
- Total Profit: ${analytics.totalProfit} USDC
`);
Deployment Guide
1. Development Environment
# Clone the agent template
git clone https://github.com/stateset/agent-template
cd agent-template
# Install dependencies
npm install
# Configure environment
cp .env.example .env
# Edit .env with your settings
# Run tests
npm test
# Start local agent
npm run dev
2. Production Deployment
# kubernetes/agent-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: trading-agent
spec:
replicas: 3
template:
spec:
containers:
- name: agent
image: stateset/agent:latest
env:
- name: AGENT_WALLET
valueFrom:
secretKeyRef:
name: agent-secrets
key: wallet-seed
- name: SPENDING_LIMIT
value: "10000.00"
- name: STATESET_ENDPOINT
value: "https://api.stateset.network"
resources:
limits:
memory: "1Gi"
cpu: "500m"
3. Monitoring Setup
// Initialize monitoring
const monitor = new StateSetMonitor({
agentId: 'trading-bot-001',
webhooks: {
alerts: 'https://api.company.com/alerts',
reports: 'https://api.company.com/reports'
},
customMetrics: [
{
name: 'arbitrage_opportunities',
query: 'count(trades.type = "arbitrage")'
},
{
name: 'avg_profit_per_trade',
query: 'avg(trades.profit)'
}
]
});
Cost Optimization
Fee Management
// Optimize transaction costs
const feeOptimizer = {
// Batch transactions when possible
batching: {
enabled: true,
maxBatchSize: 100,
maxWaitTime: '5 minutes'
},
// Use efficient routes
routing: {
preferDirectTransfers: true,
maxHops: 2,
avoidHighFeeContracts: true
},
// Time transactions optimally
timing: {
avoidPeakHours: true,
preferredHours: [2, 3, 4, 5], // UTC
urgentThreshold: '1000.00' // Skip optimization for urgent
}
};
Compliance and Regulations
Built-in Compliance
const complianceFramework = {
// KYC/AML for agent operations
kyc: {
requiredFor: ['withdrawal > 10000', 'new_counterparty'],
provider: 'chainalysis',
refreshFrequency: 'annual'
},
// Transaction monitoring
aml: {
screenCounterparties: true,
flagSuspiciousPatterns: true,
reportingThreshold: '10000.00',
sarsFilingWebhook: 'https://compliance.company.com/sars'
},
// Regulatory reporting
reporting: {
taxReporting: {
form: '1099-K',
frequency: 'annual',
includeFees: true
},
regulatoryReporting: {
jurisdictions: ['US', 'EU'],
realTime: true
}
}
};
Future Roadmap
Coming Soon
- Natural Language Control: Tell agents what to do in plain English
- Cross-Chain Agents: Operate seamlessly across multiple blockchains
- Agent Marketplace: Buy, sell, and license proven agent strategies
- Collaborative Agents: Agents that work together on complex tasks
- Quantum-Resistant Security: Future-proof cryptography
Conclusion
Smart agents on StateSet Commerce Network represent the future of autonomous commerce. With native USDC, instant settlements, and comprehensive APIs, developers can build agents that:
- Execute complex trading strategies
- Optimize business operations
- Provide 24/7 customer service
- Manage treasury and yield
- Scale without human intervention
The combination of AI and blockchain creates unprecedented opportunities for automation, efficiency, and innovation in commerce.
Resources
Start building your autonomous commerce agent today and join the revolution in how business gets done.