QuotePlot Agent is a full-stack market intelligence ecosystem that solves the core problem every financial AI hits: the data it needs is locked behind aggressive bot detection, JavaScript-rendered pages, and geo-blocks on financial sites like investing portals, market data providers, and financial news outlets. Bright Data's MCP server is the infrastructure layer that makes QuotePlot possible at production scale. The agent uses Bright Data's web_search and scrape_as_markdown tools to collect live price data, earnings announcements, and financial news from sources that would otherwise block automated access — feeding fresh, real-world signals into the analysis pipeline rather than relying on stale API snapshots. On top of that live data layer, QuotePlot runs a trained SVM pipeline that classifies user intent with 86% accuracy — distinguishing between price queries, trend analysis requests, and news sentiment questions — then routes each to the appropriate model. A predictive engine detects bullish and bearish trend signals from scraped historical and live price patterns, returning structured analysis through a FastAPI backend and visualised in real-time React charts. The result is a financial intelligence agent that operates on the actual live web — not cached data, not rate-limited public APIs — giving retail investors the same real-time market access that was previously reserved for institutional infrastructure.
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