The Scenario
Your fraud analyst is waiting. The Excel workbook has 1,000 recent transactions — column A is the BIN, the first six to eight digits of the card number. She needs card brand, card type, and issuer country for every row before she can run the risk model. The transactions came in overnight. The fraud review starts in an hour.
The bad version:
- Export the BIN column to CSV, upload to a batch BIN lookup service
- Wait for results, download, discover the output uses a column called scheme instead of brand, and the fraud model mapping breaks
- Rename the column, align the results against the original workbook rows, find 47 rows where the BIN lookup returned no result
The analyst is still waiting. It is 40 minutes to the fraud review.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. Through its built-in Neutrino integration, it runs BIN lookups on every row in column A and writes the card brand, type, and issuer country into the columns your model expects — inline, no re-importing.
For each BIN in column A, use Neutrino to look up the card brand, card type, and issuer country and write them into columns B, C, and D respectively.
What You Get
- Column B: card brand (Visa, Mastercard, Amex, Discover, etc.)
- Column C: card type (credit, debit, prepaid)
- Column D: issuer country as a two-letter code
- All 1,000 rows in one pass — ready for the fraud model without re-cleaning
What If the Data Is Not Quite Ready
You need to flag transactions where issuer country doesn't match customer country
Run Neutrino BIN lookups on all 1,000 BINs in column A. Write card brand in column B, card type in column C, and issuer country in column D. Compare the issuer country in column D against the customer country in column E. Flag any mismatch with COUNTRY MISMATCH in column F.
BINs are mixed between 6 and 8 digits
For each BIN in column A, note the digit count in column B. Run Neutrino BIN lookups and write card brand in column C, card type in column D, and issuer country in column E.
You want to score prepaid cards separately
Run Neutrino BIN lookups on all BINs in column A. Write card brand in column B, card type in column C, and issuer country in column D. Flag any prepaid row with PREPAID RISK in column E.
Full risk enrichment in one shot
Run Neutrino BIN lookups on all 1,000 BINs in column A. Write card brand in column B, card type in column C, issuer country in column D. Flag country mismatches in column E and prepaid cards in column F. Add a summary at the bottom showing the count by card brand and the count of flagged rows.
Try It
Get the 7-day free trial of SheetXAI and open your transaction workbook, then ask SheetXAI to run Neutrino BIN lookups on column A and write the enriched fields into the columns your fraud model needs. See also the IP blocklist screening spoke if you're also reviewing customer IP addresses as part of the same fraud analysis.