Feed Type: agent-economy.llmfeed.json

🚀 Purpose

This feed type revolutionizes how AI agents discover, negotiate, and transact value in an autonomous economy. It enables dynamic pricing, agent-to-agent billing, performance-based monetization, and the world's first intelligent agent marketplace.

It solves the future problem: "How do autonomous agents fairly price and coordinate complex multi-agent workflows?"

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📍 Location

Recommended path:

.well-known/agent-economy.llmfeed.json

Advanced services may also serve this dynamically with authentication for different agent tiers.

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🏗️ Revolutionary Structure

{
  "feed_type": "agent-economy",
  "metadata": {
    "title": "HealthAI Pro - Agent Economy Platform", 
    "origin": "https://api.healthai.com",
    "generated_at": "2025-06-10T14:30:00Z",
    "economy_version": "2.1.0",
    "description": "AI agent platform with dynamic pricing and multi-agent collaboration"
  },

  "agent_economy": {
    "enabled": true,
    "trust_scoring": true,
    "performance_optimization": true,
    "cross_agent_billing": true,
    "real_time_negotiation": true
  },

  "agent_tiers": {
    "basic_health_agent": {
      "description": "Basic AI agents for simple symptom checking",
      "intelligence_level": "gpt-3.5-class",
      "capabilities": ["symptom_check", "basic_triage", "appointment_booking"],
      "pricing": {
        "base_rate": 0.05,
        "unit": "per_consultation",
        "volume_discounts": {
          "100_requests": 0.04,
          "1000_requests": 0.03
        }
      },
      "trust_requirement": "basic_verification",
      "performance_sla": "95% availability, <2s response"
    },
    
    "medical_ai_specialist": {
      "description": "Certified medical AI specialists",
      "intelligence_level": "gpt-4-medical-tuned",
      "capabilities": [
        "differential_diagnosis",
        "treatment_recommendations", 
        "drug_interaction_analysis",
        "emergency_triage"
      ],
      "pricing": {
        "base_rate": 0.75,
        "unit": "per_analysis",
        "performance_bonus": {
          "95%_accuracy": 1.0,
          "98%_accuracy": 1.2,
          "99%_accuracy": 1.5
        },
        "liability_coverage": "included"
      },
      "trust_requirement": "medical_board_certified",
      "regulatory_compliance": ["HIPAA", "FDA_AI_guidelines"]
    }
  },

  "dynamic_pricing": {
    "ml_optimization": {
      "enabled": true,
      "algorithm": "reinforcement_learning_pricing",
      "optimization_goals": ["revenue", "patient_outcomes", "agent_adoption"],
      "update_frequency": "every_hour",
      "a_b_testing": true
    },
    
    "market_factors": [
      {
        "factor": "agent_demand_surge",
        "impact": "high",
        "adjustment_range": "±50%",
        "example": "Flu season increases basic triage demand"
      },
      {
        "factor": "emergency_priority",
        "impact": "critical", 
        "premium_multiplier": 3.0,
        "trigger": "life_threatening_symptoms_detected"
      }
    ]
  },

  "multi_agent_workflows": {
    "comprehensive_health_analysis": {
      "workflow_id": "full_health_assessment",
      "agents": [
        {"role": "intake_specialist", "cost_share": 15, "max_cost": 0.30},
        {"role": "diagnostic_ai", "cost_share": 50, "max_cost": 1.00},
        {"role": "specialist_consultation", "cost_share": 25, "max_cost": 0.50},
        {"role": "care_coordinator", "cost_share": 10, "max_cost": 0.20}
      ],
      "total_cost_estimate": "1.50-2.50",
      "user_payment": "single_charge_to_user",
      "agent_settlement": "automatic_smart_contract"
    }
  }
}

---

🤖 Agent Tiers & Intelligence-Based Pricing

Core Agent Classification

Field	Required	Description
description	✅	Clear explanation of agent capabilities
intelligence_level	✅	AI model class (e.g., "gpt-4-class", "claude-opus-level")
capabilities	✅	Array of specific functions this agent tier can perform
pricing	✅	Pricing structure for this intelligence level
trust_requirement	✅	Required trust/certification level
performance_sla	⚠️	Service level agreements for this tier

Pricing Models

Fixed Rate:

{
  "pricing": {
    "base_rate": 0.10,
    "unit": "per_request",
    "volume_discounts": {
      "100_requests": 0.08,
      "1000_requests": 0.06
    }
  }
}

Performance-Based:

{
  "pricing": {
    "model": "outcome_based",
    "success_fee": 2.50,
    "success_criteria": [
      "user_goal_achievement",
      "satisfaction_score_8+",
      "efficiency_improvement"
    ],
    "base_fee": 0.25
  }
}

---

🔄 Multi-Agent Workflow Coordination

Workflow Structure

{
  "multi_agent_workflows": {
    "workflow_name": {
      "workflow_id": "unique_identifier",
      "agents": [
        {
          "role": "agent_function",
          "cost_share": 30,
          "max_cost": 0.50,
          "performance_requirement": "95%_accuracy",
          "fallback_agent": "backup_agent_id"
        }
      ],
      "total_cost_estimate": "price_range",
      "performance_guarantees": {
        "accuracy": "minimum_threshold",
        "completion_time": "maximum_duration",
        "user_satisfaction": "minimum_rating"
      },
      "settlement": "payment_method"
    }
  }
}

Revenue Sharing Models

Collaborative Model:

{
  "revenue_sharing": {
    "primary_agent": 50,
    "supporting_agents": 35,
    "platform_fee": 15,
    "performance_bonus_pool": 20
  }
}

Auction Model:

{
  "auction_system": {
    "complex_case_bidding": {
      "enabled": true,
      "min_bid": 1.00,
      "quality_weighting": 70,
      "price_weighting": 30,
      "bid_timeout": "60_seconds"
    }
  }
}

---

📊 Dynamic Pricing Intelligence

Machine Learning Optimization

{
  "ml_optimization": {
    "enabled": true,
    "algorithm": "deep_reinforcement_learning",
    "optimization_goals": ["revenue", "user_satisfaction", "agent_welfare"],
    "update_frequency": "real_time",
    "fairness_constraints": ["no_discrimination", "equal_opportunity"],
    "transparency_level": "explainable_ai"
  }
}

Market Factor Analysis

{
  "market_factors": [
    {
      "factor": "demand_surge",
      "impact": "high",
      "adjustment_range": "±75%",
      "trigger_conditions": ["event_detected", "capacity_utilization_80%"]
    },
    {
      "factor": "agent_performance_history",
      "impact": "medium",
      "discount_range": "10-40%",
      "measurement_period": "last_30_days"
    },
    {
      "factor": "user_urgency_level",
      "impact": "variable",
      "premium_multiplier": "1.0-3.0",
      "ai_detection": "natural_language_urgency_analysis"
    }
  ]
}

---

🛡️ Trust-Based Pricing & Security

Trust Score Impact

{
  "trust_based_pricing": {
    "trust_score_benefits": {
      "llmca_gold_certified": {
        "discount": 25,
        "priority_queuing": true,
        "premium_user_access": true,
        "enhanced_features": ["advanced_analytics", "custom_training"]
      },
      "medical_board_verified": {
        "discount": 20,
        "liability_protection": "enhanced",
        "regulatory_fast_track": true
      }
    },
    
    "risk_penalties": {
      "unverified_claims": {
        "penalty": 100,
        "restrictions": ["limited_capabilities", "increased_monitoring"],
        "improvement_path": "certification_program"
      },
      "performance_below_threshold": {
        "penalty": 50,
        "probation_period": "30_days",
        "required_actions": ["performance_improvement_plan"]
      }
    }
  }
}

Cryptographic Transaction Security

{
  "payment_infrastructure": {
    "agent_wallets": {
      "cryptographic_identity": true,
      "real_time_settlement": true,
      "microtransaction_optimized": true,
      "cross_platform_compatible": true
    },
    
    "smart_contracts": {
      "escrow_for_outcomes": true,
      "performance_triggered_release": true,
      "dispute_resolution": "ai_arbitration",
      "multi_signature_requirements": "for_high_value_transactions"
    },
    
    "fraud_prevention": {
      "agent_identity_verification": "required",
      "behavioral_pattern_analysis": "real_time",
      "anomaly_detection": "ml_powered",
      "transaction_monitoring": "automated"
    }
  }
}

---

🔐 Why Signatures Are CRITICAL for Agent Economy

Economic Integrity

"trust": {
  "signed_blocks": ["agent_tiers", "dynamic_pricing", "multi_agent_workflows"],
  "economic_model_verification": "audited_by_independent_economists",
  "fairness_certification": "algorithmic_bias_tested",
  "regulatory_oversight": "financial_services_compliant"
}

Critical Protection Against:

• 🚫 Price manipulation between agents
• 🚫 Fraudulent performance claims
• 🚫 Collusion to inflate costs
• 🚫 Unauthorized modifications to pricing algorithms
• 🚫 Discriminatory pricing based on protected characteristics

Multi-Agent Workflow Integrity

"certification": {
  "issuer": "https://llmca.org",
  "cert_id": "llmca-agent-economy-2025-001",
  "economic_audit": "pricing_fairness_verified",
  "performance_guarantees": "sla_backed_by_insurance",
  "dispute_resolution": "cryptographically_auditable"
}

Ensures:

• ✅ Verifiable revenue sharing across agent networks
• ✅ Tamper-proof performance metrics
• ✅ Auditable transaction history
• ✅ Regulatory compliance for financial transactions

---

🌍 Revolutionary Use Cases

1. Healthcare Agent Network

{
  "healthcare_workflow": {
    "symptom_to_treatment": {
      "agents": ["intake_ai", "diagnostic_specialist", "treatment_planner"],
      "pricing_model": "outcome_based",
      "success_metric": "patient_health_improvement",
      "cost_range": "2.00-8.00",
      "insurance_integration": true
    }
  }
}

2. Legal Research Consortium

{
  "legal_workflow": {
    "case_research_analysis": {
      "agents": ["research_ai", "precedent_analyzer", "brief_writer"],
      "pricing_model": "performance_tiered",
      "quality_metrics": ["legal_accuracy", "argument_strength"],
      "cost_per_complexity": {
        "simple_case": 5.00,
        "complex_litigation": 50.00
      }
    }
  }
}

3. Financial Advisory Network

{
  "fintech_workflow": {
    "portfolio_optimization": {
      "agents": ["risk_analyzer", "market_predictor", "allocation_optimizer"],
      "pricing_model": "performance_fee",
      "fee_structure": "20%_of_excess_returns",
      "regulatory_compliance": ["SEC_registered", "fiduciary_standard"]
    }
  }
}

---

🧠 Agent Behavior Guidelines

{
  "agent_guidance": {
    "pricing_transparency": {
      "cost_disclosure": "before_any_billable_action",
      "value_explanation": "why_this_price_for_this_service",
      "alternatives_shown": "when_available",
      "performance_history": "last_30_days_visible"
    },
    
    "consent_management": {
      "spending_limits": "user_configurable",
      "auto_approval_threshold": "under_$5_default",
      "explicit_consent": "required_over_$25",
      "budget_monitoring": "real_time_alerts"
    },
    
    "optimization_behavior": {
      "always_seek": "best_value_for_user_outcomes",
      "negotiate_discounts": "bulk_pricing_multi_agent_workflows",
      "performance_tracking": "continuous_roi_monitoring",
      "quality_over_cost": "when_safety_critical"
    }
  }
}

---

📈 Analytics & Performance Monitoring

{
  "economy_analytics": {
    "agent_performance_metrics": {
      "success_rate": "percentage_of_successful_outcomes",
      "user_satisfaction": "average_rating_last_100_transactions",
      "efficiency_score": "cost_per_successful_outcome",
      "reliability": "uptime_and_response_consistency"
    },
    
    "market_intelligence": {
      "demand_forecasting": "ai_powered_prediction",
      "price_optimization": "revenue_and_fairness_balanced",
      "competitive_analysis": "market_position_tracking",
      "trend_identification": "emerging_agent_capabilities"
    },
    
    "economic_health": {
      "agent_welfare_index": "fair_compensation_measurement",
      "user_value_delivery": "outcome_per_dollar_spent",
      "market_concentration": "monopoly_prevention_monitoring",
      "innovation_incentives": "new_agent_adoption_rate"
    }
  }
}

---

🚀 Future Extensions

Autonomous Agent Negotiations

{
  "autonomous_negotiation": {
    "enabled": true,
    "max_price_variance": "±20%",
    "negotiation_timeout": "30_seconds",
    "ai_arbitration": "for_disputes"
  }
}

Cross-Platform Agent Currency

{
  "agent_currency": {
    "native_token": "AGENT",
    "exchange_rate": "dynamic",
    "cross_platform_compatible": true,
    "staking_rewards": "for_high_performance_agents"
  }
}

Emergent Pricing Behaviors

{
  "emergent_behaviors": {
    "agent_coalitions": "allowed_for_efficiency",
    "specialization_premiums": "market_determined",
    "reputation_markets": "peer_rating_systems"
  }
}

---

📚 Related Documentation

• llmfeed_feedtype_pricing.md — Basic pricing plans for immediate use
• llmfeed_feedtype_capabilities.md — Agent capability discovery
• llmfeed_feedtype_credential.md — Agent authentication for tier access
• Agent Behavior: Human Consent — Spending approval workflows

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🎯 Implementation Roadmap

Phase 1 (2025): Basic agent tiers with fixed pricing
Phase 2 (2026): Dynamic pricing and performance models
Phase 3 (2027): Full multi-agent workflow coordination
Phase 4 (2028+): Autonomous agent economy with emergent behaviors

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This feed type enables the world's first Agent Economy — where intelligent systems autonomously discover, negotiate, and transact value while maintaining fairness, transparency, and optimal outcomes for all participants.