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Prices and plan limits are on the pricing page.

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How a model call is paid for

Judges, trace analysis in Findings, Review Copilot and generation all call models. Each call is paid in one of two ways:
  • Your own model credential, when a company admin has saved one under Settings → API Keys.
  • DataFramer credits, when no credential is saved. A company admin buys them under Settings → Billing.
With neither, DataFramer refuses new AI tasks and asks you to add a credential or buy credits.

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Your own model credential

A company holds one credential at a time: an Anthropic API key, an OpenAI API key, or, on Enterprise, a Databricks service principal. Saving one for a different provider replaces it. While it is saved, every model call runs on that provider. When a task requires a model from another provider, DataFramer runs the equivalent model of your provider instead. When there is no equivalent, the task is refused: choose another model, or replace the credential.

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The monthly spend limit

Your plan caps your company’s AI spend per calendar month.
  • It counts every model call, including calls on your own credential.
  • At the limit, DataFramer refuses new AI tasks until next month. Your data stays readable, and an Auto refresh on Tracking skips its runs and resumes by itself next month.
  • For a higher limit, move to a higher plan.
Company admins see this month’s spend against the limit under Settings → Billing.

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Work that fails

Failed work does not count toward the spend limit and uses no credits. On your own credential, your provider still bills those calls.