Engineering a MAP monitoring proxy pipeline begins with a clear enumeration of where your products appear, which regions and currencies matter, and what constitutes a violation in business terms, then turns those policies into technical crawling and evidence capture rules. Retailer sites, direct to consumer storefronts, marketplace listings and authorised reseller catalogues each have their own URL structures, anti bot measures and merchandising quirks, so the proxy layer must support a mix of residential and datacenter IPs, session stickiness for complex journeys and controlled rotation for broad catalog coverage without overwhelming any single domain. A scheduler groups products into campaigns by brand, category, geography and risk profile, then dispatches requests through the proxy mesh at cadences that reflect commercial sensitivity, for example monitoring flagship SKUs and promotion heavy periods hourly while scanning long tail items daily. For each visit the orchestration tier not only fetches the page but also records HTTP headers, relevant cookies, structured API responses and rendered HTML around the price block, logging which route, store selector, device profile and acceptance of consent banners were in effect so that any downstream report can be traced back to precise technical circumstances. Normalisation logic maps the raw captures into a unified schema that standardises currencies, taxes, coupon handling and bundle logic across channels, while rule engines compare observed advertised prices against policy thresholds, automatically tagging potential violations for human review and storing the underlying artefacts in tamper evident archives for later escalation.