DealPulse Scout — AI Agent for Live Car Deals

Finding a genuine car deal is a manual, frustrating process. Buyers spend hours cross-referencing listings across five platforms, guessing whether a price is actually below market — and by the time they act, the deal is gone. DealPulse Scout solves this with a LangGraph multi-agent pipeline powered entirely by Bright Data's live web infrastructure. A single natural-language query ("Find me a used 2022 Tesla Model 3 under $28k in Austin TX") triggers a coordinated scraping run across CarGurus, AutoTrader, and Craigslist using Bright Data's Scraping Browser and Web Unlocker to bypass bot detection and JavaScript rendering. A parallel SERP API call pulls real-time market pricing data for that exact make, model, trim, and mileage range. A scoring agent then computes a 0–100 deal score by comparing each listing's price against the live market average, factoring in listing freshness and mileage deviation. Claude claude-sonnet-4-20250514 generates a one-line plain-English reason for every top result. The entire flow streams live in the UI — judges and users see each agent node activate in real time. A demo mode backed by SQLite cache ensures the experience is reliable under any network condition. Built solo in under 24 hours. The same infrastructure directly powers DealPulse, a live car-deals business — this is not a toy demo, it is the production intelligence layer.