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Agentic AI System with MCP Integration

fundamentals.py1.51 kB
import os import requests ALPHA_VANTAGE_KEY = os.environ.get("ALPHA_VANTAGE_KEY") BASE_URL = "https://www.alphavantage.co/query?" if not ALPHA_VANTAGE_KEY: raise EnvironmentError( "Please set the ALPHA_VANTAGE_KEY environment variable." ) def get_company_overview(symbol): """Fetches the company overview data.""" params = { 'function': 'OVERVIEW', 'symbol': symbol, 'apikey': ALPHA_VANTAGE_KEY } try: response = requests.get(BASE_URL, params=params) response.raise_for_status() return response.json() except requests.exceptions.RequestException as e: print(f"Error fetching company overview: {e}") return None def get_etf_profile(symbol): """Fetches the ETF profile data.""" params = { 'function': 'ETF_PROFILE', 'symbol': symbol, 'apikey': ALPHA_VANTAGE_KEY } try: response = requests.get(BASE_URL, params=params) response.raise_for_status() return response.json() except requests.exceptions.RequestException as e: print(f"Error fetching ETF profile: {e}") return None if __name__ == '__main__': print("Example: Fetching IBM company overview") ibm_overview = get_company_overview('IBM') if ibm_overview: print(list(ibm_overview.keys())[:2]) print("\nExample: Fetching SPY ETF profile") spy_profile = get_etf_profile('SPY') if spy_profile: print(list(spy_profile.keys())[:2])

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