From a static list to live merchant screening in three steps.
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02
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Build your blocklist
Screen every merchant, and the network around them
Act on a clear, defensible result
Automatically screen every new merchant against your blocklist and their connected entities before they onboard.

A static list only catches an exact name match, so the same operator can return under a slightly different name and pass straight through.


Bad merchants tracked in scattered spreadsheets and analyst memory.
Screening catches the exact name only, so a small change slips through.
Knowledge stays trapped with one analyst or one team.
MATCH is Mastercard-only and misses merchants stopped at onboarding.
A living blocklist your team controls and grows.
Every applicant screened automatically against your list.
Connected entities flagged too, not just the single name.
Every block explainable and audit-ready.
01
02
03
Build your blocklist
Screen every merchant, and the network around them
Act on a clear, defensible result
Block one merchant, catch the network. Blocklist maps connected entities - shared registrations, reused domains, same operator behind a new name.
Every block shows the matched property, the reason, and a confidence level. Your compliance team can explain and defend every decision.
Blocklist plugs into your existing onboarding flow. No need to replace anything - it layers on top of your current stack.
From underwriting to decisioning, our AI agents run vertical-specific checks, monitor for changes, and surface evidence-backed findings across your entire portfolio.



A capability inside Ballerine that lets your risk team build and manage its own list of known-bad merchants, then screen every new applicant against that list and the entities connected to it.
Rule-based systems flag transactions that cross static thresholds, generating high volumes of false positives and missing novel fraud patterns. AI-powered transaction analysis evaluates patterns contextually - correlating transaction velocity, merchant category, web activity, and historical behavior - to surface genuine risk while reducing noise. This means risk teams spend less time reviewing false alerts and more time acting on real threats.
Transaction analysis can detect transaction laundering, credit card testing, chargeback manipulation, bust-out schemes, and unusual refund patterns. By analyzing transaction data alongside a merchant's digital footprint, Ballerine identifies inconsistencies - such as transaction volumes that don't match a merchant's reported business type or web presence - that point to fraudulent activity.
Card scheme rules - including Mastercard's Merchant Monitoring Program (MMP) - require acquirers and payment facilitators to monitor merchant transaction behavior for signs of risk. Transaction analysis provides the audit-ready documentation and ongoing risk visibility needed to meet these requirements, detect problematic merchants early, and avoid fines or enforcement actions from card networks.
Yes. Ballerine's transaction analysis is designed to integrate with existing risk and compliance workflows via API. It layers transaction pattern intelligence on top of your current stack - enriching merchant risk profiles with behavioral data from payment activity, web presence analysis, and business verification - so teams get a more complete picture without replacing what already works.
Hiring a property management service can save you time, reduce stress, and help you maximize your investment. They handle everything from tenant screening and rent collection to maintenance and legal compliance, ensuring your property runs smoothly and stays profitable.
