The Scenario
You're a Make reseller. Fifteen client organization IDs live in column A of your billing sheet — they've been there since you set up the accounts. Every month you're supposed to deliver a usage summary showing each client their operations count, data transfer, and centicredit consumption for the past 30 days.
The third time you did this manually, you started a timer. It took 94 minutes: logging into Make, pulling the stats dashboard for each org, transcribing the numbers, checking you hadn't transposed any digits. One client noticed a discrepancy in the data transfer column and you spent another 20 minutes figuring out it was a copy-paste error from org 7.
You can't keep spending two hours on a report that should take five minutes.
The bad version:
- Log into Make, navigate to each org's usage dashboard, and manually read the daily breakdown for each of the 30 days
- Switch to the sheet, find the right row, and enter the aggregated stats — then repeat for all 15 orgs
- Fix the inevitable transposition errors when a client questions the numbers
The budget for this task isn't "two hours of your Monday." It's supposed to be background noise, not a recurring project.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the org IDs already in your sheet and talks to Make's API to fetch the usage data for each one — no manual navigation, no dashboard switching.
With your org IDs in column A, run:
For every organization ID in column A, fetch Make operations usage for the past 30 days and fill columns B through E with date, operations count, data bytes, and centicredits consumed
What You Get
- Columns B through E filled with the daily usage breakdown for each org
- One row per day per org, so you can see the consumption curve rather than just a total
- Any org that returns no data for the period gets a clear empty row rather than silently missing from the output
- Numeric values land as numbers, not formatted strings — so your SUM formulas work immediately
What If the Data Is Not Quite Ready
What if I want totals per org rather than daily rows?
For every organization ID in column A, fetch Make operations usage for the past 30 days and write only the totals into the adjacent columns — total operations in column B, total data bytes in column C, total centicredits in column D
What if I want to add a totals row at the bottom summing all orgs?
Pull 30 days of Make operations usage for all org IDs in this sheet and add a totals row at the bottom summing operations and data transfer across all organizations
What if some org IDs in column A are blank or invalid and I want to skip them?
For every non-blank organization ID in column A, fetch Make operations usage for the past 30 days — skip any rows where the org ID cell is empty, and write "invalid org" in column B for any ID that returns an error
What if I need the date range to be a full calendar month rather than the last 30 days, plus a summary per org with peak-day callout?
For each organization ID in column A, fetch Make operations usage for May 2026, write the daily rows into columns B through E, and add a summary line below each org's rows showing total operations, total data bytes, and the date with the highest operations count
The pattern: ask for the pull, the aggregation, and the callout calculation in one prompt. SheetXAI handles the per-row logic inline without a separate formula pass.
Try It
Get the 7-day free trial of SheetXAI and open the sheet where your Make org IDs live, then ask it to fill in the monthly usage data. Also useful: auditing org-and-team inventories, or building a plan comparison table — both covered in the Make integration overview.