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AI Agents API: Autonomous Commerce Infrastructure

🤖 Overview

StateSet’s AI Agents API enables you to deploy autonomous agents that can execute transactions, manage inventory, negotiate deals, and handle complex commerce operations 24/7. Built with native stablecoin integration and advanced safety controls.

Autonomous Execution

Agents operate independently within defined parameters

Built-in Safety

Multi-level controls prevent runaway spending

Real-time Learning

Agents improve performance through ML optimization

🚀 Quick Start

JavaScript examples assume a structured logger is available as logger. Replace with your preferred logger in production.

Deploy Your First Agent

import { StateSet } from '@stateset/sdk';

// Replace with a structured logger (Winston, Pino, etc) in production
const logger = console;

const stateset = new StateSet({ apiKey: process.env.STATESET_API_KEY });

// Deploy a procurement agent
const agent = await stateset.agents.create({
  name: 'ProcurementBot-01',
  type: 'procurement',
  capabilities: ['negotiate', 'purchase', 'track'],
  limits: {
    daily_spend: '10000.00',
    per_transaction: '1000.00',
    requires_approval_above: '5000.00'
  }
});

logger.info('Agent deployed', { agentId: agent.id });

Set Agent Parameters

// Configure agent behavior
await stateset.agents.configure(agent.id, {
  procurement_rules: {
    preferred_suppliers: ['supplier_123', 'supplier_456'],
    max_price_variance: 0.05, // 5% above market
    delivery_requirements: '3_days',
    quality_threshold: 0.95
  },
  negotiation_strategy: 'balanced', // aggressive, balanced, conservative
  learning_enabled: true
});

Monitor Agent Activity

// Replace with a structured logger (Winston, Pino, etc) in production
const logger = console;

// Real-time agent monitoring
const activity = await stateset.agents.activity(agent.id, {
  timeframe: '24h'
});

logger.info('Transactions', { count: activity.transaction_count });
logger.info('Total spent', { totalSpent: activity.total_spent });
logger.info('Savings achieved', { savings: activity.savings });

📊 Agent Types

Procurement Agents
Sales Agents
Finance Agents
Logistics Agents

Automated Purchasing & Negotiation

Procurement agents handle supplier relationships, negotiate prices, and execute purchases based on inventory levels and demand forecasts.

const procurementAgent = await stateset.agents.create({
  type: 'procurement',
  name: 'SupplyChainOptimizer',
  capabilities: [
    'supplier_discovery',
    'price_negotiation',
    'order_placement',
    'delivery_tracking'
  ],
  config: {
    inventory_triggers: {
      reorder_point: 100,
      optimal_quantity: 500,
      safety_stock: 50
    },
    supplier_preferences: {
      min_rating: 4.5,
      max_delivery_days: 5,
      payment_terms: ['NET_30', 'NET_60']
    }
  }
});

Key Features:

Automatic reordering based on inventory levels
Multi-supplier price comparison
Dynamic negotiation based on order volume
Quality and delivery performance tracking

Intelligent Sales Automation

Sales agents handle customer inquiries, negotiate deals, and manage the entire sales cycle autonomously.

const salesAgent = await stateset.agents.create({
  type: 'sales',
  name: 'SalesBot-Enterprise',
  capabilities: [
    'lead_qualification',
    'price_quoting',
    'contract_negotiation',
    'upsell_identification'
  ],
  config: {
    pricing_authority: {
      base_discount: 0.10,
      max_discount: 0.25,
      volume_tiers: [
        { min: 100, discount: 0.15 },
        { min: 500, discount: 0.20 },
        { min: 1000, discount: 0.25 }
      ]
    },
    response_time: '5_minutes',
    languages: ['en', 'es', 'fr', 'de']
  }
});

Treasury & Financial Management

Finance agents optimize cash flow, manage payments, and execute financial strategies.

const financeAgent = await stateset.agents.create({
  type: 'finance',
  name: 'TreasuryManager',
  capabilities: [
    'invoice_factoring',
    'payment_optimization',
    'forex_management',
    'yield_farming'
  ],
  config: {
    treasury_rules: {
      min_cash_balance: '50000.00',
      invoice_factoring_threshold: 0.02, // 2% discount
      payment_timing: 'optimize_discounts'
    },
    risk_parameters: {
      max_counterparty_exposure: '100000.00',
      collateral_ratio: 1.5,
      stop_loss: 0.05
    }
  }
});

Supply Chain Optimization

Logistics agents manage shipping, routing, and delivery optimization.

const logisticsAgent = await stateset.agents.create({
  type: 'logistics',
  name: 'ShippingOptimizer',
  capabilities: [
    'carrier_selection',
    'route_optimization',
    'tracking_management',
    'customs_handling'
  ],
  config: {
    optimization_goals: {
      primary: 'cost',
      secondary: 'speed',
      constraints: ['carbon_neutral']
    },
    carrier_preferences: {
      tier_1: ['DHL', 'FedEx', 'UPS'],
      tier_2: ['Regional_Carriers'],
      blacklist: []
    }
  }
});

🔐 Safety & Controls

Multi-Level Security Framework

Spending Limits

// Configure comprehensive spending controls
await stateset.agents.setLimits(agent.id, {
  absolute_limits: {
    daily: '10000.00',
    weekly: '50000.00',
    monthly: '150000.00',
    per_transaction: '5000.00'
  },
  
  velocity_controls: {
    max_transactions_per_hour: 10,
    max_transactions_per_day: 50,
    cooldown_after_limit: '1_hour'
  },
  
  approval_thresholds: {
    auto_approve_below: '1000.00',
    human_approval_above: '5000.00',
    board_approval_above: '50000.00'
  }
});

Behavioral Boundaries

// Define operational constraints
await stateset.agents.setBehaviors(agent.id, {
  allowed_actions: [
    'purchase_from_approved_suppliers',
    'negotiate_within_parameters',
    'execute_recurring_orders'
  ],
  
  prohibited_actions: [
    'create_new_contracts',
    'modify_payment_terms',
    'access_sensitive_data'
  ],
  
  ethical_constraints: {
    sustainability_required: true,
    fair_trade_only: true,
    no_conflict_minerals: true
  }
});

Emergency Controls

// Emergency stop mechanisms

// Immediate halt
await stateset.agents.emergencyStop(agent.id);

// Gradual shutdown
await stateset.agents.gracefulShutdown(agent.id, {
  complete_pending: true,
  notify_counterparties: true,
  transfer_to_human: 'ops_team'
});

// Circuit breaker configuration
await stateset.agents.setCircuitBreaker(agent.id, {
  error_threshold: 5,
  error_window: '10_minutes',
  recovery_timeout: '1_hour',
  half_open_requests: 3
});

📡 Agent Communication

Inter-Agent Protocols

// Replace with a structured logger (Winston, Pino, etc) in production
const logger = console;

// Enable agent-to-agent negotiation
const negotiation = await stateset.agents.negotiate({
  buyer_agent: 'agent_buyer_123',
  seller_agent: 'agent_seller_456',
  item: {
    sku: 'WIDGET-001',
    quantity: 1000,
    target_price: '10.00'
  },
  parameters: {
    max_rounds: 10,
    timeout: '5_minutes',
    binding_agreement: true
  }
});

// Monitor negotiation progress
negotiation.on('round_complete', (round) => {
  logger.info('Round complete', {
    round: round.number,
    buyerOffer: round.buyer_offer,
    sellerOffer: round.seller_offer
  });
});

negotiation.on('agreement_reached', (deal) => {
  logger.info('Agreement reached', {
    price: deal.price,
    quantity: deal.quantity
  });
});

Human-Agent Collaboration

// Set up human oversight
await stateset.agents.setOversight(agent.id, {
  notification_channels: {
    email: ['ops@company.com'],
    slack: '#agent-alerts',
    sms: ['+1234567890']
  },
  
  escalation_triggers: [
    'unusual_price_variance',
    'new_supplier_request',
    'large_order_placement',
    'repeated_failures'
  ],
  
  human_intervention_points: {
    pre_execution: ['orders_above_5000'],
    post_execution: ['all_transactions'],
    on_error: ['payment_failures', 'delivery_issues']
  }
});

📊 Analytics & Performance

Real-Time Metrics

// Get comprehensive agent analytics
const analytics = await stateset.agents.analytics(agent.id, {
  period: '30_days',
  metrics: [
    'transaction_volume',
    'success_rate',
    'average_savings',
    'response_time',
    'learning_progress'
  ]
});

// Response
{
  "agent_id": "agent_123",
  "period": "30_days",
  "performance": {
    "transactions": 1543,
    "success_rate": 0.97,
    "total_volume": "543,234.56",
    "average_transaction": "352.15",
    "savings_achieved": "32,445.23",
    "savings_percentage": 0.06
  },
  "behavioral_insights": {
    "preferred_suppliers": ["supp_123", "supp_456"],
    "peak_activity_hours": [9, 10, 14, 15],
    "negotiation_success_rate": 0.78,
    "average_negotiation_rounds": 3.4
  },
  "learning_metrics": {
    "model_accuracy": 0.92,
    "prediction_confidence": 0.88,
    "adaptation_rate": 0.15,
    "knowledge_base_size": 15420
  }
}

Custom Reporting

// Create custom agent reports
const report = await stateset.agents.generateReport({
  agent_ids: ['agent_123', 'agent_456'],
  report_type: 'comparative_analysis',
  metrics: {
    financial: ['total_spend', 'roi', 'cost_savings'],
    operational: ['response_time', 'accuracy', 'throughput'],
    strategic: ['supplier_diversity', 'innovation_score']
  },
  format: 'pdf',
  schedule: 'weekly'
});

🧪 Testing & Simulation

Sandbox Environment

// Replace with a structured logger (Winston, Pino, etc) in production
const logger = console;

// Test agent behavior in sandbox
const simulation = await stateset.agents.simulate({
  agent_id: agent.id,
  scenario: 'market_volatility',
  parameters: {
    price_fluctuation: 0.20,
    supply_disruption: 0.10,
    demand_spike: 1.50
  },
  duration: '7_days'
});

// Monitor simulation results
simulation.on('day_complete', (day) => {
  logger.info('Day complete', {
    day: day.number,
    performanceScore: day.performance_score
  });
});

🚨 Error Handling

try {
  const result = await agent.execute(transaction);
} catch (error) {
  switch(error.code) {
    case 'LIMIT_EXCEEDED':
      // Handle spending limit
      await notifyFinanceTeam(error);
      break;
    
    case 'UNAUTHORIZED_ACTION':
      // Handle permission violation
      await logSecurityEvent(error);
      break;
    
    case 'LEARNING_FAILURE':
      // Handle ML model issues
      await fallbackToRules(transaction);
      break;
    
    default:
      // Generic error handling
      await agent.reportError(error);
  }
}

🔗 Integrations

ERP Systems

Direct integration with SAP, Oracle, Microsoft Dynamics

ML Platforms

TensorFlow, PyTorch, and Hugging Face model support

Communication

Slack, Teams, Email, and SMS notifications

Analytics

Export to Tableau, PowerBI, and custom dashboards

📚 Resources

Agent Templates

Pre-built agent configurations for common use cases

Best Practices

Guidelines for safe and effective agent deployment

Case Studies

Real-world success stories and ROI analysis

Developer Forum

Connect with other developers building agents

​AI Agents API: Autonomous Commerce Infrastructure

​🤖 Overview

Autonomous Execution

Built-in Safety

Real-time Learning

​🚀 Quick Start

​📊 Agent Types

​Automated Purchasing & Negotiation

​Intelligent Sales Automation

​Treasury & Financial Management

​Supply Chain Optimization

​🔐 Safety & Controls

​Multi-Level Security Framework

​📡 Agent Communication

​Inter-Agent Protocols

​Human-Agent Collaboration

​📊 Analytics & Performance

​Real-Time Metrics

​Custom Reporting

​🧪 Testing & Simulation

​Sandbox Environment

​🚨 Error Handling

​🔗 Integrations

ERP Systems

ML Platforms

Communication

Analytics

​📚 Resources

Agent Templates

Best Practices

Case Studies

Developer Forum

AI Agents API: Autonomous Commerce Infrastructure

🤖 Overview

🚀 Quick Start

📊 Agent Types

Automated Purchasing & Negotiation

Intelligent Sales Automation

Treasury & Financial Management

Supply Chain Optimization

🔐 Safety & Controls

Multi-Level Security Framework

📡 Agent Communication

Inter-Agent Protocols

Human-Agent Collaboration

📊 Analytics & Performance

Real-Time Metrics

Custom Reporting

🧪 Testing & Simulation

Sandbox Environment

🚨 Error Handling

🔗 Integrations

📚 Resources