The Scenario
Your company's Make enterprise contract renews in six weeks. The procurement manager — that's you — has been asked to present a plan comparison to leadership before signing anything. You pulled up Make's pricing page and found five tiers, multiple billing periods, and a set of technical limits (operations cap, data-store limit, transfer allowance) that you'd need to copy into a spreadsheet before you could do any kind of side-by-side analysis.
That's 45 minutes of transcription before the actual work even starts. Leadership wants the comparison deck by end of week.
The bad version:
- Open Make's pricing page, read each plan, and manually type the plan name, monthly cost, operations cap, data-store limit, and transfer limit into the sheet — once per plan, once per billing period variant
- Realize mid-way through that some plans have multiple price points and you need additional rows you didn't account for in your layout
- Go back and fix three values after noticing you swapped the data-store limit for two of the plans
The comparison needs to be accurate. Renewing the wrong tier costs the company money.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It connects to Make's API and can fetch the full product and pricing catalog in one pass — no transcription, no tab-switching between the pricing page and the sheet.
In a blank sheet, run:
Fetch all Make cashier products and their associated prices and create a comparison table in this sheet with columns for product name, price, currency, billing period, operations cap, and data store limit
What You Get
- One row per price variant — so a product with monthly and annual billing appears as two rows
- Product name, currency, and billing period fill in exactly as Make returns them — no reformatting needed
- Operations cap and data-store limit populate in their own columns so you can sort and filter for the leadership comparison
- Any plan that has no operations cap listed appears as a clear empty cell rather than a zero
What If the Data Is Not Quite Ready
What if I also want the data transfer limit in a separate column?
Fetch all Make cashier products and their associated prices into this sheet — include product name, price, currency, billing period, operations cap, data-store limit, and transfer limit, one row per price variant
What if I want only annual billing plans and want them sorted by price ascending?
Fetch all Make pricing products and filter to only annual billing period variants — write product name, annual price, operations cap, and data-store limit into this sheet sorted from lowest to highest price
What if leadership wants a cost-per-1000-operations column added?
Fetch all Make pricing products with their prices and operations caps into this sheet, then add a calculated column showing cost per 1,000 operations (price divided by operations cap times 1000) for each row
What if I need the full catalog plus a recommended tier flagged based on our current monthly operations count in cell B2?
Fetch all Make pricing products and prices into this sheet, then compare each plan's operations cap against the value in cell B2 and mark the cheapest plan whose cap exceeds that value as "Recommended" in a new column
The approach: pull the data and run the recommendation logic in a single prompt rather than pulling the data first and writing a formula pass after.
Try It
Get the 7-day free trial of SheetXAI and open a blank Google Sheet, then ask it to pull the Make pricing catalog for you. Also useful: exporting the Make LLM model catalog for AI cost planning, or pulling reference enumerations for validation — both linked from the Make integration overview.