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RootSpend
Doing it by hand

RootSpend vs. a spreadsheet for tracking data and AI costs

Most teams start tracking Snowflake and AI costs in a spreadsheet. Here is where that stops working, and what RootSpend does differently.

At a glance

RootSpend compared with Spreadsheets
CapabilityRootSpendSpreadsheets
Cost data pulled in every day
Split by team, project and personAutomaticBy hand
Shared AI accounts split by usage
Budget and spike alerts
History of who changed whatAudit logVersion history
Cost$9 to $79 a monthSomeone's afternoon, every month

Last reviewed on . Tools change fast, so check their current docs too. Spot something out of date? Tell us.

Why the spreadsheet stops working

Spreadsheets are fine for flat subscriptions. They struggle with tools like Snowflake, OpenAI and Anthropic, where the cost changes every day, accounts are shared, and the real question isn't how much but who.

The exports usually happen once a month, so you find out about a spike after you've paid for it. Splitting a shared account by usage means matching usage logs against an employee list by hand. And formulas drift. Someone changes teams, a column gets inserted, and the totals stop matching the invoice. After that, nobody trusts the sheet.

What RootSpend does instead

RootSpend pulls cost and usage every day with read only access. It splits each dollar once, keeps dated team memberships so history stays correct, and tells you the day spend jumps instead of the month after.

When to keep the spreadsheet

If your only data tool is a subscription with a flat price, keep the spreadsheet. RootSpend is worth it once bills that grow with usage show up.

Retire the cost spreadsheet

Join the waitlist

Frequently asked questions

When you have one or two tools on flat prices and one team using them. Once costs depend on usage and several teams share an account, the manual work grows every month, and so do the mistakes.

Be first in when RootSpend opens

We are opening to a first group of teams soon. Join the waitlist, or book a demo and we will walk you through it on sample data.

Opening soon. The waitlist gets in first.