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Not precisely — Parabola doesn’t have a report that shows credit usage for one individual run. Here’s the closest you can get today.

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Option 1: Check the balance before and after

Note your credit balance on the Billing page, run the flow once, then check the balance again. The difference is that run’s credit cost. The counter updates in real time, so this works well for a single one-off run. See Understanding and Managing Credit Usage in Flows for how each step type is priced (a flat 10 credits for standard steps, 20–80 for Prowork-built steps depending on complexity, and variable amounts for other AI steps).

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Option 2: Per-flow and per-user totals (admins, Usage Reports)

Admins can use Usage Reporting & Analytics (on the Billing page) for a Flow Report showing total runs and total credits per flow over the last 30 days, and a User Report with the same broken out per user. This is aggregated across all of a flow’s runs in the window, not a single-run figure, and updates once daily (approximately 3am ET for the prior day) — so it’s the right tool for spotting which flow is driving usage, not for pinpointing one run.

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If usage seems higher than expected

A common cause is a flow running more often than intended — for example, an email-triggered flow set to Run the flow once per attachment, or one that isn’t restricted to a single file type with Only process [file type], can multiply the number of runs (and credits) per email received. Check the flow’s Run History for an unexpectedly high run count before assuming a billing error. If the run count looks right but usage still seems off, contact help@parabola.io with the flow link and time range — support can review it with you.
Last modified on July 30, 2026