What metered pricing really costs
Multiply the measured cost per run by your realistic monthly volume, then double it for the runs you will not plan.
Convert a per-run price into the number that will actually appear on your card.
How What metered pricing really costs works, in one picture
The same argument as the text, as a chain. Each step is what makes the next one possible.
- 1
Find the measured cost, not the advertised one
A listing run in the sandbox carries a measured cost per run, from a real execution on a real task, which is why it is often higher than the figure in a maker's own documentation. No listing has been run there yet: the sandbox waits on isolated infrastructure.
Where the field is blank, we have not measured it, and a blank should make you more cautious about a metered listing rather than less.
- 2
Estimate volume from what you do now, not from what you plan
The reliable method is to count the thing the agent replaces. If it drafts replies to support tickets, your volume is your ticket count, not your optimism about automation.
Then add the runs nobody budgets for: retries, the ones that produce output you throw away, and the week somebody discovers it and runs it on everything.
Retries are the most commonly missed line. A task set with a 57 percent success rate runs nearly twice.
- 3
Compare against the subscription version of the same job
A subscription at a fixed monthly price and a metered listing at a fraction of a penny per run are the same purchase with the risk placed differently. Metered is cheaper when volume is low and predictable, and worse when it is neither.
Work out the crossover volume. If your realistic number is anywhere near it, take the fixed price and buy the certainty.
You have a monthly figure for a metered listing you were considering, including retries.
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Multiply the measured cost per run by your realistic monthly volume, then double it for the runs you will not plan.
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