Prepare input
Keep the source identifier, use one record per row and verify the format with a small sample before a larger task.
Mastercard Screening for Payment-account association & Business-account signal
Use NumSift to organize Mastercard-related merchant and customer reference data for payment research and exception review. Use tokenized internal references only; never upload full card numbers, security codes, PINs or authentication data into a screening task.
✓Payment-account association✓Business-account signal✓Country and numbering region
Accurate data. Global reach.
Payment-account association
Business-account signal
Country and numbering region
Review and exception signal
PRODUCT SCOPE
What Mastercard screening is designed to do
Mastercard data screening for organize Mastercard-related merchant and customer reference data for payment research and exception review.
Choose signals
This page focuses on Payment-account association, Business-account signal, Country and numbering region, Review and exception signal, rather than applying unrelated fields from another product.
Keep context
Export task time, unknown values and exception states so the result remains reviewable.
SUPPORTED CAPABILITIES
Screening capabilities covered for Mastercard
Fields can vary by task. Select only the capabilities the workflow needs and validate a small batch before submitting a full dataset.
Mastercard Payment-account association
Handle only authorized account-association signals and never include credentials or transaction secrets.
Result groupaccount association, task status and review flag
Mastercard Business-account signal
Separate available business-account or organization signals from personal and unresolved records.
Result groupbusiness indicator and organization-related fields
Mastercard Country and numbering region
Resolve the numbering region from normalized data and flag records that remain ambiguous.
Result groupcountry code, numbering region and ambiguity state
Mastercard Review and exception signal
Mark records that need manual review without turning limited screening data into a risk score.
Result groupreview flag, exception reason and source reference
RESULT GROUPS
What the output should make clear
Every result group should remain linked to its source record. Unknown, empty and task-exception values should stay separate instead of being converted into a negative result.
Mastercard Payment-account association
account association, task status and review flag
Mastercard Business-account signal
business indicator and organization-related fields
Mastercard Country and numbering region
country code, numbering region and ambiguity state
Mastercard Review and exception signal
review flag, exception reason and source reference
THREE-STEP WORKFLOW
From source data to reviewed Mastercard results
Prepare and sample
Preserve source values, normalize obvious format differences, remove exact duplicates and prepare a small sample.
Select the required capabilities
Choose the required items from Payment-account association, Business-account signal, Country and numbering region, Review and exception signal; avoid adding fields the decision will not use.
Review and export
Check field meaning, task time, unknown values and exceptions before importing structured output into another system.
PRACTICAL USE
Where Mastercard screening fits
Card-payment data review
Create a dedicated Mastercard dataset for card-payment data review, with source identifiers and task timestamps kept beside every result.
Decide how to classify available network and market signals without exposing payment credentials
Use payment-account association, business-account signal, country and numbering region, review and exception signal as separate review fields so one missing value does not erase the rest of the record.
Prepare Mastercard exports for downstream review
Export the original identifier, selected result fields, unknown values and exception states together so another team can reproduce the decision.
FAQ
Mastercard screening questions
What does the Mastercard data screening page cover?+
It explains how to organize Mastercard-related merchant and customer reference data for payment research and exception review, including the supported signal groups, input preparation, result interpretation and review boundaries.
What input should I prepare for Mastercard screening?+
Prepare authorized customer or account reference identifiers. Keep one source record per row, preserve the original value and normalize obvious formatting differences before a larger task.
Which Mastercard results can be organized?+
This product page covers payment-account association, business-account signal, country and numbering region, review and exception signal. The exact fields available depend on the selected task and may include unknown or empty values.
How should I use Mastercard screening results?+
Use them to classify available network and market signals without exposing payment credentials. Check task time, field meaning and exception states before importing results into another system.
Does Mastercard screening prove consent or identity?+
No. Screening organizes returned technical or account signals. It does not prove a person's identity, create marketing consent or replace the rules that apply to the source data.