The Scenario
You are a revenue operations manager. A sales rep imported 500 leads from a trade show badge scan into a Google Sheet. Column C has phone numbers, column D has email addresses, column F has EU bank IBANs for the enterprise accounts.
Your CRM import will reject rows with invalid emails and silently accept bad phone numbers that will bounce later. Your job is to flag every bad row before the import runs. The upload window closes at 3 PM.
The bad version of this afternoon:
- You export a sample, run it through a free email checker tool, look at the results
- You try to write a regex to validate the phone numbers, give up after forty minutes
- You manually look up three IBANs in a browser tool
- You realize you have only processed fifty rows and it is 2:30 PM
- The import runs at 3 PM with 450 unvalidated rows.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet. It reads your leads sheet and calls API Ninjas validation endpoints row by row, then writes a composite flag so you can sort and fix before the import.
Open the SheetXAI sidebar and type:
For each row in my Leads sheet, validate the phone number in column C and the email in column D using API Ninjas, then add a "Valid" or "Invalid" flag in column E. If either field is invalid, note which one in column F.
SheetXAI calls the API Ninjas phone and email validators for every row, combines the results, and writes the composite outcome into column E with a specific failure note in column F.
What You Get
A Leads sheet with two new columns:
- Column E: Status — "Valid" if both phone and email pass, "Invalid" if either fails
- Column F: Failure reason — "Phone invalid," "Email invalid," "Both invalid," or blank
You can now sort by column E descending and see every bad row at the top before you touch the CRM import. No guessing, no regex, no browser lookups.
Got IBANs in column F? Add one line to the prompt and SheetXAI validates those too, writing country code and bank name for valid IBANs and "INVALID" for bad ones.
What If the Data Is Not Quite Ready
Trade show exports are never clean. SheetXAI handles the mess alongside the validation.
When phone numbers have inconsistent formatting
Some numbers have country codes, some don't. Some have dashes, some have dots, some have parentheses.
Normalize all phone numbers in column C to E.164 format (e.g. +14155551234) before validating. Validate each normalized number using API Ninjas and write the result into column E.
When you also need the IBAN details
Enterprise rows in column F have EU bank IBANs. You want country and bank name for the valid ones.
Check every IBAN in column F against the API Ninjas IBAN validator. For valid IBANs, write the country code into column G and bank name into column H. For invalid ones, write "INVALID" in column G and leave H blank.
When you want to filter to valid rows only
After validation, you only want the clean rows going into the CRM.
After running phone and email validation, copy only the rows where column E is "Valid" to a new sheet called "CRM-Ready." Leave the original sheet intact.
When the full validation-and-clean run is one prompt
You have 500 raw rows, inconsistent phone formats, some blank emails, and IBANs in a mix of formats.
Normalize phone numbers in column C to E.164 format. For rows where email in column D is blank, write "MISSING" in column E and skip validation. For all other rows, validate phone and email via API Ninjas and write the combined flag in column E. Validate IBANs in column F and write country code and bank name in columns G and H. Finally, copy all rows where column E is "Valid" to a new sheet called "CRM-Ready."
The pattern: cleaning and validation in the same prompt so you get one pass, not three.
Try It
Get the 7-day free trial of SheetXAI and open any lead list with phone numbers or emails, then ask SheetXAI to validate it using API Ninjas. The API Ninjas integration is included in every SheetXAI plan. See also how to enrich a domain list with MX and WHOIS data or the API Ninjas in Google Sheets overview.