The Scenario
You're the operations lead at a B2B media company. Your sales team uses Excel workbooks to track advertiser prospects. The latest one has 2,000 email addresses collected from three separate events — business cards, badge scans, a raffle entry form. Before any of this goes into the CRM, your director wants a clean list: no disposable inboxes, no free-mail accounts, nothing with an obvious typo in the domain.
The deadline to upload the cleaned list is end of business tomorrow.
The bad version:
- Export the worksheet to CSV, write a Python script that loops through the file calling RiteKit one email at a time, wait for 2,000 sequential API responses, re-import the results, and reconcile row order.
- Pull a random 100-row sample, validate those manually in RiteKit's dashboard, and extrapolate to the full list.
- Submit the raw list and let the CRM's built-in deliverability checker flag the bounces after the first campaign send.
None of these options land you a clean, validated list by tomorrow afternoon. One of them will land you in a conversation about why the deliverability rate was 78%.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the email addresses in column A and, through its built-in RiteKit integration, calls the email validation API for each address and writes the results back to the columns you specify.
Scan all 2,000 emails in my Excel "Raw Leads" worksheet using RiteKit and flag any row where disposable is TRUE or typo detected is TRUE by writing "REMOVE" in column E and the suggested correction in column F.
What You Get
- Column E: "REMOVE" on any row where disposable is TRUE or a typo was detected — blank for clean addresses
- Column F: The suggested corrected email address for typo rows — blank where no correction is needed
- Every row in column A gets evaluated — 2,000 checks, no manual work
What If the Data Is Not Quite Ready
The email column has entries mixed with phone numbers and notes — some cells aren't email addresses at all
For each row in column A of the "Raw Leads" worksheet, skip the RiteKit call if the cell does not contain an @ character — write "NOT AN EMAIL" in column E. For cells that look like email addresses, call RiteKit disposable and typo checks. Write "REMOVE" in column E for any flagged row and the suggested correction in column F.
The workbook has three worksheets — "Event A", "Event B", "Event C" — and I need all three cleaned
For each worksheet ("Event A", "Event B", "Event C"), check every email address in column A using RiteKit. Write "REMOVE" in column E for any row where disposable is TRUE or a typo is detected, and the suggested correction in column F. After all three sheets are processed, add a new worksheet called "Removed Contacts" that lists every flagged email address alongside the source worksheet name.
Some rows have the email address in column A and a backup email in column B — I want to validate both
For each row, call RiteKit's disposable and typo checks for the address in column A and write the result (REMOVE or CLEAN) to column C. Then call the same checks for the address in column B — if column B is not blank — and write the result to column D. Where column C is REMOVE but column D is CLEAN, write "USE BACKUP" in column E.
I want to validate the full list and produce a clean export in a single operation
For each email in column A of the "Raw Leads" worksheet, call RiteKit to check disposable and typo status. Write the disposable flag to column B, the typo flag to column C, and the suggested correction to column D. Then create a new worksheet called "Clean Export" containing only the rows where both column B and column C are FALSE — formatted with just column A (email) and the source row number in column B.
Validate the full list and produce the clean version in one pass.
Try It
Get the 7-day free trial of SheetXAI and open your Excel workbook with the raw contact list, then ask it to run a full RiteKit validation across every email in column A. Once the list is clean, you might also want to enrich those contacts with inferred names, or return to the RiteKit + Excel overview.