alphaScout: Autonomous AI Financial Risk Engine

alphaScout addresses a critical gap in financial intelligence: the dependency on stale market data and fragile web scrapers that fail against modern Web Application Firewalls (WAFs), CAPTCHAs, and dynamic bot protection perimeters. By leveraging the Google Gemini API, alphaScout deploys an autonomous, self-correcting agentic loop that dynamically adapts its intelligence gathering strategies. Outbound network orchestration is powered by Bright Data's Web Unlocker, seamlessly rotating premium residential proxies to bypass security barriers. The system processes raw unstructured data into high-fidelity metrics verified against strict JSON schemas, completely eliminating AI hallucinations. Built with a robust TypeScript ecosystem utilizing a Node.js server and a Vite-powered user interface, alphaScout streams microsecond financial telemetry directly to users via Server-Sent Events (SSE). This project heavily leveraged assistive AI engineering through interactive session tracks with IBM Bob for schema optimization and error diagnostics, fully documented in our repository. This production-grade prototype targets an addressable market of algorithmic traders and enterprise asset managers, delivering an unblockable pipeline of competitive market alpha.