JACOBI: Adversarial Pricing Topology Probe

JACOBI is a modern intelligence engine designed to expose and bypass algorithmic price discrimination on e-commerce, travel, and booking platforms. Online retailers deploy sophisticated pricing systems that adjust costs dynamically based on location, hardware choices, search history, and referrer links. To reveal these hidden markups, JACOBI deploys 24 parallel probe agents across distinct geographic areas, device types, and cookie states. By routing traffic through BrightData's proxy infrastructure and Web Unlocker, the system bypasses bot detection layers and obtains a clear view of global pricing patterns. Once prices are collected, the analysis pipeline operates via a cascade of partner technologies: AI/ML API: Serves as the core reasoning system, orchestrating model selection (such as GPT-4o) to evaluate price spreads and generate optimization strategies. Groq: Provides sub-second inference speeds, enabling real-time conversion of complex pricing data into actionable recommendations. Cognee: Implements a semantic graph memory layer, allowing JACOBI to remember historical pricing profiles and track discrimination patterns over time. TriggerWare.ai: Manages event-driven post-probe workflows, triggering automated alerts, schedules, and saving strategies when price spreads exceed target thresholds. Ethereum Sepolia Ledger: Commits verified audit sessions to a gas-optimized Solidity smart contract (JacobiPricingLedger.sol) on the Sepolia testnet to prevent tampering and ensure trust. By combining multi-fingerprint testing with unified AI analysis, JACOBI ensures that consumers and businesses can locate the lowest achievable price for any online listing.