The Scenario
The product launch is in three weeks and someone just forwarded you a Slack message: "Can you confirm all eight intake forms are consistent? We can't have the beta launch go out with half the forms missing the required-field flag on email address."
You are the product manager who owns this. You have eight Baserow form view IDs in a list. You have an Excel workbook. You have no idea which of those forms has the required flag set correctly and which doesn't — because the forms were built by three different people over the last two months.
The bad version:
- Open Baserow, navigate to database one, find the form view, click into field settings for each field, note the field name, type, and required status, then type it into the workbook
- Do this for every field across every form — some forms have twelve fields, some have five — and reconcile the naming inconsistencies where one person called the field "Email" and another called it "email_address"
- Discover at field thirty-seven that you recorded the required status incorrectly for form two because you were copying from a different worksheet than you thought
A product manager running pre-launch checks at hour nine of the day does not have the cognitive overhead to manually audit forty-plus fields across eight forms. One miscaptured required flag and the wrong stakeholder gets a broken intake experience on day one.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads what's in the workbook — including your list of form view IDs in column A — and calls Baserow to pull the form metadata for each one.
For every form view ID in column A of my Excel table, pull the Baserow form metadata and output field name, field type, and required flag into columns B, C, and D
What You Get
- Column A: form view ID (your input, unchanged)
- Column B: field name
- Column C: field type
- Column D: required flag (true/false)
- One row per field across all eight forms — every field from every form in a single contiguous table
What If the Data Is Not Quite Ready
Column A has form IDs mixed with blank rows and a header
My workbook has "Form ID" as a header in A1 and form view IDs in A2 through A9 with a blank in A5 — fetch metadata for all non-blank IDs and write results starting at column B, one row per field, skipping the blank
I only care about required fields — filter out optional ones
Fetch form view metadata for each form ID in column A — but only write rows where the required flag is true. I want to see only the required fields across all eight forms.
Two forms have fields with identical names but different types — flag them
Fetch form metadata for all form IDs in column A. After writing the results to the workbook, scan for any field name that appears in more than one form with a different field type, and flag those rows in column E with "TYPE MISMATCH"
Full audit + inconsistency detection + summary in one shot
Fetch Baserow form metadata for every non-blank form view ID in column A. Write field name, field type, and required flag to columns B through D, one row per field. Then scan the results: if any field named "email" or "email_address" has required set to false, flag that row in column E with "REQUIRED FLAG MISSING". Add a summary row at the bottom counting how many fields have the flag.
The idea is to collapse the audit and the anomaly-detection into one request, not two separate passes.
Try It
Open an Excel workbook with your Baserow form view IDs in column A and get the 7-day free trial of SheetXAI — ask it to pull the full field configuration for each form. For inventorying the databases those forms live in, see the workspace inventory spoke. The Baserow integration overview covers all four methods for connecting Baserow to Excel.