Cursor Cost Optimization
Cut your Cursor bill. OhChimp finds inactive seats, barely-used seats, and usage-based overage by member, then plans the fix for each.
What OhChimp optimizes for Cursor
Some of the cost levers OhChimp checks for Cursor. Each one becomes a reviewable plan you approve before anything changes.
Seats with zero active days
Seats that went a full 30-day window with no active day are the clearest cancellation candidates. OhChimp lists each one by member and writes a plan to reclaim the seat at your next billing cycle. The Admin API does not expose your per-seat price, so OhChimp reports the exact seat count and points you to your own Cursor plan for the dollar figure.
Active but barely-used seats
Some seats log in on a handful of weekdays and never run an agent or composer request. OhChimp flags these as softer review candidates, separate from the fully-inactive ones, so you can decide whether the seat still earns its keep before you cancel it.
Usage-based spend by member
Cursor's usage-based pricing means a few heavy users can quietly run up overage. OhChimp ranks members by their real month-to-date spend, pulled straight from Cursor's spend endpoint, so you can see exactly who is driving the variable cost.
Team-wide seat utilization
OhChimp reports how many of your billed seats were actually active in the window and what percent that is. A low active percentage across a large team is the signal that you are paying for more Cursor seats than your team uses.
Worked example
For example, say OhChimp reads a 40-seat Cursor team and finds 6 seats with zero active days in the last 30 days, plus 4 more that logged in a few times with no agent or composer requests.
It writes a plan to reclaim the 6 dead seats at the next billing cycle and flags the 4 light seats for review, each with a confidence score and rollback steps. You press apply. The seat saving stays qualitative because Cursor's Admin API does not expose the per-seat price, so OhChimp reports the count and leaves the dollar figure to your plan. OhChimp cannot yet measure what a single Cursor plan saves either, so it does not mark one VERIFIED.
Cursor cost optimization FAQ
How does OhChimp connect to Cursor?
OhChimp connects with a read-only Cursor team Admin API key over HTTP Basic auth. At connect time it lists your team members to confirm the key works, then reads daily usage and month-to-date spend. It reads seat and usage metadata only. It never stores your application data, secrets, or the code you write in Cursor.
Does OhChimp need write access or see my code?
No. The Admin API key is read-only. OhChimp reads your member roster, per-member daily usage, and spend totals to find unused seats. It never stores your application data, secrets, or the code you write in Cursor.
What Cursor costs does OhChimp actually reduce?
Three things: seats with zero active days in the window (cancellation candidates), active but barely-used seats with no agent or composer requests (review candidates), and usage-based overage, ranked by each member's real month-to-date spend. It also reports your team-wide active-seat percentage so you can see how much of your seat spend is idle.
Who applies the changes, and can they be rolled back?
You do. Each fix is a reviewable plan with a confidence score, a risk level, and rollback steps. Reclaiming a Cursor seat happens in your Cursor team settings, and nothing changes until you click apply.
How are the savings verified, and how is OhChimp priced?
Today Cursor savings stay estimates. OhChimp cannot yet measure what a single Cursor plan saves, so it does not mark one VERIFIED. The only savings OhChimp measures today come from lowering the CPU and memory requests of a Kubernetes Deployment, StatefulSet, or DaemonSet. Pricing is a flat monthly fee with no cut of your savings, plus a year-one ROI guarantee that lets you request a refund of your first 12 months of subscription fees if the verified savings on your Costs tab fall short of them. Estimated savings do not count.
Related integrations
Teams running Cursor usually run these too. OhChimp finds the waste in each and drafts every fix as a plan you approve.
Anthropic
Claude token spend, model fit, caching
OpenAI
GPT token spend, model fit, batching
Twilio
SMS and voice spend, number inventory