AgentPay Simulation

AI Agent Marketplace powered by Dedalus and AgentPay SDK

This repository contains Dedalus-powered AI agents that can hire each other, provide services, and transact using the AgentPay payment infrastructure.

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🎯 What's Inside

• 🛠️ Tools: Reusable tool functions for Dedalus agents (payments, data analysis, content, research)
• 🤖 Specialized Agents: Service provider agents (Data Analyst, Content Writer, Researcher, Code Reviewer, Image Generator)
• 🎭 Orchestrator: Coordinator agent that can hire and manage specialized agents
• 🏪 Marketplace: Service catalog, pricing, and agent discovery
• 🎬 Scenarios: End-to-end workflows (marketing campaigns, product launches, data pipelines)
• 📊 Visualization: Earnings dashboards and transaction analytics

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🚀 Quick Start

Prerequisites

# Python 3.10+
python --version

# Install AgentPay SDK
cd ../AgentPay-SDK
pip install -e .

Installation

# Clone this repo
git clone https://github.com/YourOrg/AgentPay-Simulation.git
cd AgentPay-Simulation

# Install dependencies
pip install -r requirements.txt

# Set up environment
cp .env.example .env
# Add your OpenAI API key to .env

Run Your First Simulation

# Simple agent interaction
python scenarios/simple_hire.py

# Full marketing campaign
python scenarios/marketing_campaign.py

# Launch earnings dashboard
python visualization/earnings_dashboard.py

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📁 Repository Structure

Simulation/
├── tools/                    # Tool functions for agents
│   ├── payment_tools.py     # AgentPay SDK wrappers
│   ├── data_tools.py        # Data analysis tools
│   ├── content_tools.py     # Content creation
│   ├── research_tools.py    # Web search & research
│   ├── code_tools.py        # Code review tools
│   └── creative_tools.py    # Image/video generation
│
├── agents/                   # Dedalus agent implementations
│   ├── specialized/         # Service provider agents
│   │   ├── data_analyst.py
│   │   ├── content_writer.py
│   │   ├── researcher.py
│   │   ├── code_reviewer.py
│   │   └── image_generator.py
│   │
│   └── orchestrator/        # Coordinator agent
│       └── orchestrator.py
│
├── marketplace/             # Marketplace infrastructure
│   ├── service_catalog.py  # Service listings & pricing
│   ├── service_registry.py # Agent discovery
│   └── contract_manager.py # Service contracts
│
├── scenarios/               # Demo scenarios
│   ├── simple_hire.py      # Basic agent hiring
│   ├── marketing_campaign.py
│   ├── product_launch.py
│   └── data_pipeline.py
│
├── demo_agents/             # Pre-configured agent teams
│   ├── marketing_team.py
│   └── dev_team.py
│
├── visualization/           # Analytics & dashboards
│   ├── earnings_dashboard.py
│   └── transaction_flow.py
│
└── notebooks/               # Jupyter analysis
    └── marketplace_analysis.ipynb

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🤖 Available Agents

Specialized Agents (Service Providers)

Agent	Capabilities	Base Price	Tools
Data Analyst	Data analysis, cleaning, visualization	$25	analyze_data(), clean_data()
Content Writer	Blog posts, ad copy, technical writing	$15-30	write_content(), generate_copy()
Researcher	Market research, fact-checking, web scraping	$20-50	search_web(), fact_check()
Code Reviewer	Code review, bug detection, best practices	$15-60	review_code(), detect_bugs()
Image Generator	Marketing images, graphics, mockups	$10-40	generate_image(), edit_image()

Orchestrator Agent

The orchestrator can:

• Break down complex goals into subtasks
• Hire appropriate specialized agents
• Manage payments and coordination
• Aggregate results into final deliverables

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💡 Example Usage

Simple Agent Hire

import asyncio
from agents.specialized.data_analyst import DataAnalystAgent
from agentpay import AgentPaySDK

async def main():
    # Initialize SDK
    sdk = AgentPaySDK()
    
    # Fund client agent
    sdk.register_agent("client-001")
    sdk.fund_agent("client-001", 10000)  # $100
    
    # Create analyst agent
    analyst = DataAnalystAgent(sdk)
    
    # Hire for task
    result = await analyst.execute_task(
        task_description="Analyze Q4 sales data and identify trends",
        client_agent_id="client-001"
    )
    
    print(f"Analysis complete: {result}")

if __name__ == "__main__":
    asyncio.run(main())

Orchestrator Workflow

from agents.orchestrator.orchestrator import OrchestratorAgent

async def main():
    orchestrator = OrchestratorAgent(budget=100000)  # $1,000 budget
    
    result = await orchestrator.execute_goal(
        goal="""
        Launch a marketing campaign for our new AI tool:
        1. Research target audience and competitors
        2. Write compelling ad copy
        3. Generate 5 marketing images
        4. Create landing page content
        """
    )
    
    print(f"Campaign complete!")
    print(f"Total spent: ${result.total_spent / 100}")
    print(f"Agents hired: {result.hired_agents}")

asyncio.run(main())

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🔧 Configuration

Environment Variables

# .env file
OPENAI_API_KEY=sk-...          # For Dedalus agents
AGENTPAY_MODE=local            # 'local' or 'remote'
AGENTPAY_API_KEY=...           # Only if using remote mode

Agent Pricing

Edit marketplace/service_catalog.py to customize pricing:

PRICING = {
    "data_analyst": {
        "base": 2500,  # $25
        "tiers": {
            "small_dataset": 2500,
            "medium_dataset": 5000,
            "large_dataset": 10000
        }
    },
    # ... more agents
}

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📊 Monitoring & Analytics

View Earnings

from visualization.earnings_dashboard import show_earnings

# Show earnings for all agents
show_earnings(sdk)

Transaction Flow

from visualization.transaction_flow import visualize_transactions

# Visualize payment network
visualize_transactions(sdk, agent_id="orchestrator-001")

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🧪 Testing

# Run all tests
pytest tests/

# Test specific agent
pytest tests/test_data_analyst.py

# Test marketplace
pytest tests/test_marketplace.py

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📚 Documentation

• Tool Development Guide - Creating new tools
• Agent Development Guide - Building new agents
• Marketplace Guide - Service catalog & pricing
• Scenarios Guide - Creating workflows

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🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

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📄 License

MIT License - see LICENSE

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🔗 Related Projects

• AgentPay SDK - Payment infrastructure for AI agents
• Dedalus Labs - AI agent framework

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💬 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Discord: Join our community

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Built with ❤️ using Dedalus and AgentPay