Agent Integration Guide

import requests
import json
from datetime import datetime

# Initialize HGM API client
class HGMAgent:
    def __init__(self, api_key: str):
        self.api_key = api_key
        self.base_url = "https://api.heathglobalmacro.xyz"
        self.headers = {
            "Authorization": f"Bearer {api_key}",
            "Content-Type": "application/json"
        }
    
    def discover_opportunities(self, min_confidence: int = 80):
        """Discover arbitrage opportunities"""
        response = requests.get(
            f"{self.base_url}/api/v1/opportunities",
            params={"minConfidence": min_confidence},
            headers=self.headers
        )
        return response.json()
    
    def get_market_intelligence(self):
        """Get macro indicators and sector signals"""
        response = requests.get(
            f"{self.base_url}/api/v1/market-intelligence",
            headers=self.headers
        )
        return response.json()
    
    def get_sentiment(self, asset: str = None):
        """Get sentiment analysis"""
        params = {}
        if asset:
            params["asset"] = asset
        
        response = requests.get(
            f"{self.base_url}/api/v1/sentiment",
            params=params,
            headers=self.headers
        )
        return response.json()
    
    def execute_autonomous_workflow(self):
        """Example autonomous trading workflow"""
        # 1. Discover opportunities
        opportunities = self.discover_opportunities(min_confidence=85)
        
        # 2. Get market intelligence
        intelligence = self.get_market_intelligence()
        
        # 3. Get sentiment
        sentiment = self.get_sentiment()
        
        # 4. Evaluate and execute
        for opp in opportunities['data']:
            if opp['confidence'] > 85 and sentiment['sentiment_score'] > 0.7:
                print(f"Executing: {opp['name']}")
                print(f"Expected Return: {opp['expectedReturn']}")
                print(f"Spread: {opp['spread']}%")
        
        return {
            "opportunities": opportunities,
            "intelligence": intelligence,
            "sentiment": sentiment,
            "timestamp": datetime.now().isoformat()
        }

# Usage
if __name__ == "__main__":
    agent = HGMAgent(api_key="your_api_key_here")
    result = agent.execute_autonomous_workflow()
    print(json.dumps(result, indent=2))