FairPrice Watchdog AI Junk-Fee Evidence Agents

US consumers lose an estimated $64B a year to hidden fees and drip pricing. In May 2025 the FTC's Junk Fees Rule (16 CFR Part 464) made undisclosed mandatory fees illegal with penalties up to $51,744 per violation. Enforcement is landing now (Greystar $23M, Invitation Homes $48M). But there's a bottleneck: the same listing can cost a London shopper more than a New York shopper at the exact same moment and nobody can prove it at scale. Regulators and class-action firms need timestamped, tamper-proof evidence. FairPrice Watchdog is the picks-and-shovels for that evidence. A swarm of six specialized agents takes a single URL and produces a fileable complaint: a Crawler geo-loads the listing, a Journey Simulator walks the checkout (stopping before payment), a Diff agent extracts every fee, a Law-Mapper assigns the exact FTC clause with a detectability tier, and a Filing agent seals a court-ready PDF. Our key innovation: when prices are rendered in JavaScript (invisible to raw scraping), the agent captures a fully-rendered screenshot via Bright Data's Browser API and a GPT-4o vision model (AIMLAPI) reads the price straight off the image like a human. Every fetch has a hard deadline and a graceful fallback, so it never hangs; every result is honestly labeled live/partial/mock; every capture is SHA-256 sealed. Live, we captured a real hotel at $137 for a UK shopper vs $117 for a US shopper same room, same dates with both screenshots sealed and a PDF complaint generated. Built on the full Bright Data stack (Web Unlocker, Residential state-level geo, Browser API, SERP) plus AIMLAPI for vision and reasoning. Coverage spans 29 jurisdictions US (FTC §464), UK (DMCCA), and all 27 EU states (UCPD). Deployed live with auto-HTTPS and self-healing services.