particle_podcast_get_episode_timeseries

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Time-bucketed episode counts — the purpose-built answer to "how often is X discussed over time". Counts episodes matching the same filters as `particle_podcast_list_episodes` (person, company, entity, podcast, keyword, language, duration, transcript availability) per day, week, or month, plus range totals. `keyword_search` additionally counts matching transcript segments per bucket (exact counts); `semantic_search` does the same by meaning, with the same similarity threshold as `particle_podcast_search_transcripts` (lower bounds for pathologically broad queries), and requires `published_after`. The two cannot be combined. Use this for appearance, publication, or topic trend lines instead of paging `particle_podcast_list_episodes`, `particle_podcast_find_mentions`, or `particle_podcast_search_transcripts` once per period. Buckets are UTC-aligned, zero-filled, and Monday-aligned for weeks; ranges are capped at 1000 buckets. At least one of podcast_slug, person_slug, company_slug, entity_slug, keyword_search, or semantic_search is required.