List prompts

Project ID

Keep only the prompts with at least one execution on this AI model, of any outcome and date (the prompts /dimensions/prompt_executions lists for the same model). Prompts have no model of their own, so a prompt with no execution on this model yet (a newly enabled model, or a locale the model does not cover) is left out. An unknown value, or a model the API key's user has not enabled, returns 422 ERR_INVALID_PARAM. from and to still filter prompt creation.

One collection/tag ID or a comma-separated list of IDs. A query value is always a string on the wire, so it is typed as one: the previous integer-or-string union made generators emit a wrapper type they could not serialize.

One ISO country code or a comma-separated list (e.g. US,GB,DE)

One ISO language code or a comma-separated list (e.g. en,es,de)

Filter by prompt ID

One prompt type or a comma-separated list: informational, navigational, commercial, transactional

Filter by brand kind: brand (own brand/products), brand_other (competitors/other brands), non_brand (generic, no brand named). For fair 1:1 brand-vs-competitor comparisons (visibility, share of voice), use non_brand: brand-focused prompts skew results toward the brand they name. The in-app Overview page applies non_brand by default.

End of the window. A date-only value such as 2026-09-01 covers that whole day. Pass a full timestamp to end the window earlier.

Rectangular output for BI tools (Tableau, Excel, Sheets, ELT). Omit for the default nested JSON. 'flat' returns the same metadata plus 'columns' and 'rows'; 'csv' returns those rows as text/csv. Errors are always returned as JSON.