The Scenario
You're a data analyst at a conference organizing company. The attendee registrations just closed and you have a 10,000-row workbook: first name in column A, last name in column B, company in column C, nothing else. The post-event report that goes to the sponsorship team needs a gender breakdown — percentage male, female, unknown — and the report is due tomorrow at noon.
Someone on the team processed a 500-row list like this six months ago. They wrote a Python script, called the Gender API one name at a time, hit rate limits, and spent most of a day on it. That script is on a laptop that no longer exists.
The bad version:
- Rebuild the script, handle authentication, loop through 10,000 rows with rate-limiting delays, parse JSON responses.
- Realize the API's free tier caps out well below 10,000 calls and figure out the billing.
- Write the results back to the workbook row by row, discover four encoding errors in Polish and Vietnamese names, and handle those separately.
You weren't hired to rebuild API scripts. You were hired to tell the sponsorship team what their audience looks like.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the attendee list, understands the structure, and calls Gender API in batches using the multi-name endpoint — not one row at a time. Describe the job.
Send all first names in column A to Gender API using the batch/multi-name endpoint. Write the gender result to column D and the confidence percentage to column E for each corresponding row. Where Gender API returns "unknown," write "unknown" to column D.
What You Get
- Column D: "male," "female," or "unknown" for all 10,000 rows.
- Column E: confidence score as a percentage for each row.
- Batch processing via Gender API's multi-name endpoint — not 10,000 individual API calls.
- No silent failures: rows where the API returns no result get "unknown," not a blank.
What If the Data Is Not Quite Ready
The workbook has attendees from multiple countries and some names are in non-Latin scripts
Send all first names in column A to Gender API in batches. For names that return a confidence below 50%, also try the full name (columns A and B combined) as a fallback. Write gender to column D and confidence to column E. Flag rows where both attempts return below 50% confidence with "Low Confidence" in column F.
The workbook has duplicate registrations — same person registered twice with the same email in column G
Deduplicate the list by email address in column G, keeping the first occurrence. For the deduplicated set, batch-query Gender API using first names in column A. Write gender to column D and confidence to column E on all rows, including duplicates, matching by the email in column G.
You only want to process rows that haven't already been enriched — column D already has some values from a previous partial run
Using Gender API's batch endpoint, process only rows where column D is blank. Send first names in column A in batches. Write gender to column D and confidence percentage to column E for each newly processed row. Leave existing values in column D untouched.
The sponsorship report needs gender counts, not just a gender column — and the rows below 60% confidence should be excluded from the count
Batch-process all first names in column A through Gender API. Write gender to column D and confidence to column E. Then, in a summary block starting at cell G1, write the count of rows where gender is "male" and confidence is 60 or above, the count where gender is "female" and confidence is 60 or above, and the count of all remaining rows as "Excluded / Low Confidence."
That last prompt does the enrichment and the summary analysis in one shot — the report skeleton lands alongside the enriched data.
Try It
Open your attendee workbook and get the 7-day free trial of SheetXAI. Ask it to batch-process your name column through Gender API and write the gender breakdown your report needs. See also: bulk contact salutation enrichment and the hub overview.