The Scenario
You work in a real estate agency. The prospecting team has compiled 300 addresses from recent property inquiries into a Google Sheet — street in column A, city in column B, state in column C, ZIP in column D. Before anyone spends budget on a direct mail campaign, your director wants every address validated. Bad addresses mean wasted print, wasted postage, and a deliverability rate that will make the ROI conversation painful.
The bad version:
- Export the sheet to CSV, write a script to call Stannp's validation endpoint for each row, handle the auth, parse the JSON responses, map the validation result and any suggested correction back to the right row in the original file.
- If you do not have a script handy, try copying addresses into Stannp's UI one by one to check them — stop at row 12 when it becomes clear this will take the rest of the day.
- Alternatively, send the sheet to a developer and wait two business days for a validation report that comes back as a separate file you still have to merge back in.
Three hundred addresses and the practical options are either a day of manual work or a developer dependency that costs two days. Either way, the campaign launch slips.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It calls the Stannp address validation endpoint for every row and writes the result back directly, no script required.
Validate each address in this sheet — street in column A, city in column B, state in column C, ZIP in column D — using the Stannp validation API and write Valid or Invalid plus any suggested correction into column E.
What You Get
- Column E populated for every row: either Valid, or Invalid followed by the specific issue or suggested correction Stannp returns.
- A scannable column that makes it easy to filter to just the invalid rows and address them before the campaign launches.
- The original data stays untouched in columns A through D — the validation result is additive, not destructive.
What If the Data Is Not Quite Ready
Full address in a single column instead of split across four
Parse the full address string in column A — assuming the format is street, city, state ZIP — extract the components, validate each one using the Stannp address API, and write the validation result and any suggested correction into column B.
ZIP codes stored without leading zeros
Zero-pad all values in column D to 5 digits before validating, then call the Stannp validation API for each row using street from A, city from B, state from C, and the corrected ZIP from D — write Valid or Invalid plus any suggestion into column E.
Addresses split across two tabs needing validation on both
Validate every address in the Residential tab (street A, city B, state C, ZIP D) and the Commercial tab (same column layout) using the Stannp validation API and write Valid or Invalid into column E of each respective tab.
Full format audit, deduplicate, validate, and tag in one pass
Trim whitespace from columns A through D, remove duplicate rows based on columns A and D, flag rows with any blank address field by writing Incomplete in column E, then validate all remaining rows using the Stannp API and write the validation result into column E — overwriting the Incomplete tag if the row was flagged but validation still ran.
Combining the data hygiene and the validation in one prompt means you get a clean, validated list in a single pass instead of iterating through cleanup and re-validation separately.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a prospect or mailing list and ask it to validate addresses before you commit to a Stannp campaign. For sending postcards after validation, see the bulk-send postcards spoke. For the hub overview, see How to Connect Stannp to Google Sheets.