Agent Marketplace¶

Overview¶

The Agent Marketplace is a decentralized platform within AIDDDMAP for discovering, deploying, and managing AI agents. It provides a secure environment for agent trading, verification, and collaboration, with built-in support for tokenization and smart contracts.

Core Features¶

1. Agent Management¶

Agent Discovery
Deployment Control
Version Management
Performance Monitoring

2. Marketplace Functions¶

Agent Trading
Price Discovery
Rating System
Revenue Sharing

3. Security Features¶

Agent Verification
Secure Deployment
Access Control
Audit System

4. Integration Support¶

API Integration
Custom Deployment
Resource Management
Analytics Tools

Implementation¶

1. Marketplace Configuration¶

interface MarketplaceConfig {
  trading: TradingConfig;
  agents: AgentConfig[];
  security: SecurityConfig;
  integration: IntegrationConfig;
}

interface TradingConfig {
  payment: PaymentConfig;
  pricing: PricingConfig;
  settlement: SettlementConfig;
}

enum AgentType {
  VISION = "vision",
  NLP = "nlp",
  AUDIO = "audio",
  CUSTOM = "custom",
}

2. Agent Management¶

interface AgentManager {
  deployment: DeploymentConfig;
  monitoring: MonitoringConfig;
  updates: UpdateConfig;
}

interface DeploymentConfig {
  environment: string;
  resources: ResourceRequirements;
  scaling: ScalingPolicy;
}

interface MonitoringConfig {
  metrics: string[];
  alerts: AlertConfig[];
  logging: LoggingConfig;
}

3. Trading System¶

interface TradingSystem {
  orders: OrderManager;
  matching: MatchingEngine;
  settlement: SettlementEngine;
}

interface OrderManager {
  types: OrderType[];
  validation: ValidationConfig;
  execution: ExecutionConfig;
}

interface MatchingEngine {
  algorithm: string;
  constraints: MatchingConstraints;
  optimization: OptimizationConfig;
}

Integration Examples¶

1. Agent Listing¶

// Configure agent listing
const agentListing = new AgentListing({
  agent: {
    name: "Advanced Vision Agent",
    version: "1.0.0",
    type: "vision",
    capabilities: [
      "object_detection",
      "scene_understanding",
      "facial_recognition",
    ],
    requirements: {
      compute: {
        cpu: 2,
        memory: "4GB",
        gpu: true,
      },
      storage: "10GB",
      network: {
        bandwidth: "100Mbps",
        latency: "50ms",
      },
    },
  },
  pricing: {
    model: "usage-based",
    base: {
      amount: 100,
      currency: "USD",
      period: "1m",
    },
    tiers: [
      {
        usage: 1000,
        discount: 10,
      },
      {
        usage: 10000,
        discount: 20,
      },
    ],
  },
  verification: {
    security: {
      audit: true,
      certification: ["ISO27001", "SOC2"],
    },
    performance: {
      benchmarks: true,
      metrics: ["accuracy", "latency"],
    },
  },
});

// List agent
const listing = await agentListing.publish({
  marketplace: "global",
  visibility: "public",
  promotion: {
    featured: true,
    categories: ["computer-vision", "security"],
  },
});

2. Agent Deployment¶

// Configure agent deployment
const agentDeployer = new AgentDeployer({
  environment: {
    type: "kubernetes",
    version: "1.22",
    namespace: "ai-agents",
  },
  resources: {
    compute: {
      requests: {
        cpu: "2",
        memory: "4Gi",
      },
      limits: {
        cpu: "4",
        memory: "8Gi",
      },
    },
    storage: {
      type: "ssd",
      size: "20Gi",
    },
  },
  scaling: {
    auto: true,
    min: 1,
    max: 5,
    metrics: [
      {
        type: "cpu",
        target: 80,
      },
      {
        type: "memory",
        target: 75,
      },
    ],
  },
  monitoring: {
    metrics: ["cpu", "memory", "latency", "throughput"],
    logging: {
      level: "info",
      retention: "30d",
    },
    alerts: {
      cpu: 90,
      memory: 85,
      errors: 0.1,
    },
  },
});

// Deploy agent
const deployment = await agentDeployer.deploy({
  agent: agentId,
  version: "latest",
  config: {
    api: {
      port: 8080,
      endpoints: ["inference", "health", "metrics"],
    },
    security: {
      authentication: true,
      encryption: true,
    },
  },
});

3. Trading Integration¶

// Configure trading system
const tradingSystem = new TradingSystem({
  orders: {
    types: ["market", "limit", "subscription"],
    validation: {
      balance: true,
      limits: true,
    },
    execution: {
      automatic: true,
      timeout: 30000,
    },
  },
  matching: {
    algorithm: "price-time",
    constraints: {
      minPrice: 0.1,
      maxPrice: 1000,
    },
    optimization: {
      enabled: true,
      strategy: "best-execution",
    },
  },
  settlement: {
    type: "instant",
    payment: {
      methods: ["crypto", "fiat"],
      processors: ["stripe", "coinbase"],
    },
    confirmation: {
      required: true,
      timeout: 600000,
    },
  },
});

// Execute trade
const trade = await tradingSystem.executeTrade({
  buyer: buyerId,
  seller: sellerId,
  agent: agentId,
  price: 100,
  quantity: 1,
  terms: {
    duration: "30d",
    usage: "unlimited",
    support: "basic",
  },
});

Security Considerations¶

1. Agent Verification¶

interface AgentVerification {
  security: SecurityAudit;
  performance: PerformanceTest;
  compliance: ComplianceCheck;
}

interface SecurityAudit {
  tests: SecurityTest[];
  certification: CertificationConfig;
  monitoring: SecurityMonitoring;
}

2. Access Control¶

interface AccessManager {
  roles: RoleConfig[];
  permissions: PermissionConfig[];
  policies: PolicyConfig[];
}

Best Practices¶

1. Agent Development¶

Standardized interfaces
Security best practices
Performance optimization
Documentation

2. Marketplace Operations¶

Fair pricing
Quality control
Dispute resolution
Regular updates

3. Integration¶

API standards
Error handling
Monitoring
Support system

Future Enhancements¶

Planned Features
Advanced agent composition
Automated pricing
Cross-chain settlement
AI-driven matching
Research Areas
Agent interoperability
Decentralized governance
Privacy-preserving deployment
Dynamic pricing models