Preview match frequency for an alert before creating it
Kicks off an asynchronous sweep over the past N days (default 7, max 30) and returns a preview_id. Poll GET /v1/alerts/preview/ until status is completed (or failed). The result includes the total match count, a per-day breakdown, and a small sample of the most-recent matches with full payload so the UI can show “if you create this alert, here’s what it would have caught.”
Prefer the terminal? This endpoint is also a command in the Particle CLI: pick Particle CLI in the request example’s language menu. Install the Particle CLI.
Same as CreateAlertBody.filters. Pass the filters you intend to save so the estimate reflects what the alert would actually surface. Only languages and speaker_roles narrow the historical sweep; relevance and source_popularity are read-time projections that don't run on historical episodes, so setting them leaves the count unchanged (the estimate is an upper bound when relevance=RELEVANT).
Same as CreateAlertBody.keyword — required for KEYWORD_MENTION, rejected otherwise. A phrase that matched more than 700 podcast episodes in the past week is rejected with 422, as on create.
Deterministic preview ID — repeating the same body within the TTL returns the same ID. Poll GET /v1/alerts/preview/{previewId} when status is 'in_progress'.
'in_progress' means a sweep is running (or was just started); 'completed' means an earlier identical preview is still cached and the result is ready to fetch via GET. A 'failed' prior preview is treated as a cache miss and a fresh sweep is started — callers never see 'failed' on this endpoint.
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