BargainHunter_B2B And Pricing Surveillance Agent

BargainHunter is an autonomous, enterprise-grade AI agent explicitly designed for the Web Data UNLOCKED Hackathon to revolutionize Go-To-Market (GTM) Intelligence and Finance strategies. Built on a robust FastAPI backend and orchestrated by a sophisticated LangGraph multi-node architecture, BargainHunter automates the critical process of real-time market and pricing surveillance. The system executes a seamless multi-step AI workflow: First, a Scraper Node leverages Bright Data to extract targeted competitor pricing while filtering out irrelevant noise. Next, an Analyzer Node aggregates this data to identify pricing anomalies and market leaders. A Recommender Node then employs Retrieval-Augmented Generation (RAG) using a Pinecone vector database to recall historical intelligence reports, providing historical context for strategy formulation. Finally, a unique Critique Node acts as a manager, utilizing a self-reflection loop to ensure all AI-generated pricing strategies strictly adhere to enterprise business rules before finalizing the output. Featuring real-time streaming execution, users can watch the AI's step-by-step logic live via a Streamlit dashboard. Furthermore, the system includes a robust B2B alerting mechanism that instantly notifies GTM and Finance teams of high-priority market shifts, empowering data-driven, strategic decision-making.