The Scenario
You are a cloud finance analyst. It is the last week of the month and the VP of Engineering wants cost allocation broken down by team before the budget meeting on the first. You have thirty Neon projects, each owned by a different engineering team, and you need compute hours, written bytes, and storage size for each one in a Google Sheet.
The sheet already has project IDs in column A and team names in column B. Columns C through E are empty.
The bad version of the next two days:
- Open the Neon billing dashboard
- Navigate to each project's usage details
- Read the compute hours, written bytes, and storage numbers
- Copy them into the sheet row by row
- Thirty projects × three metrics = ninety manual lookups
- Format the numbers so the VP can read them
- You finish the day before the meeting. You realize you read one metric in the wrong unit for six projects.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI reads the project list and pulls the consumption data from the Neon API for each one, so you never navigate billing dashboards for bulk data extraction.
Open the SheetXAI sidebar and type:
Retrieve consumption history for all Neon projects in my organization for the past 30 days and write each project's active time seconds, compute time seconds, and written data bytes into a summary sheet with one row per project.
SheetXAI calls the Neon consumption API, structures the output, and writes the metrics into the sheet. Thirty rows, all populated, consistent units, ready for the VP.
What You Get
A complete cost allocation sheet with:
- Active time seconds — how long compute was active per project
- Compute time seconds — billable compute duration per project
- Written data bytes — storage write volume per project
- Consistent units — all metrics in the same format, no manual conversion errors
The sheet reflects the last 30 days of actual usage, not an estimate or a dashboard screenshot from last Tuesday.
What If the Data Is Not Quite Ready
Cost allocation reports need additional processing before they are useful in a budget meeting. SheetXAI adds the analysis in the same prompt.
When the VP wants the metrics in human-readable units
Raw bytes and seconds are hard to read in a meeting. Convert them.
Pull Neon consumption metrics for the past 30 days for all projects. Write compute time in hours (not seconds) and storage in gigabytes (not bytes) into columns C and D. Round to two decimal places.
When you need to allocate costs to team budgets
Each project maps to a team in column B. You want a team-level rollup alongside the project-level detail.
Pull Neon consumption metrics for the past 30 days for all projects and write compute hours and storage GB into columns C and D. Then add a 'Team Totals' sheet that sums compute hours and storage GB by team name from column B.
When some project IDs in the sheet are stale
A few projects in column A were deleted last month. You want to flag them instead of erroring.
Pull Neon consumption metrics for each project ID in column A. If a project no longer exists, write 'PROJECT NOT FOUND' into column C instead of leaving it blank. For all active projects, write compute time seconds and written bytes into columns C and D.
When you need a month-over-month comparison
The VP wants to see whether consumption went up or down compared to the previous month.
Pull Neon consumption metrics for the past 30 days and the 30 days before that for all projects. Write this month's compute hours into column C and last month's into column D. Add a 'Change' column E showing the percentage change. Flag any project with more than a 25% increase in red text.
The pattern: one prompt pulls the data, converts the units, and builds the cost allocation table the finance team needs.
Try It
Get the 7-day free trial of SheetXAI and open any project list sheet with Neon project IDs, then ask it to pull the consumption data. The Neon integration is included in every plan. See also how to export your full Neon infrastructure inventory to Google Sheets or the Neon in Google Sheets overview.