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In the podcast_advertising category, which is opt-in — it is callable by name on any connection, but only advertised on tools/list when selected via ?include=podcast_advertising. See Tool sets & discovery.
Sponsor-side ad analytics for one company: total ads, distinct podcasts and episodes reached, host-read vs pre-recorded breakdown, and the most recent ad placements with podcast attribution. This is the “where does company X show up as a sponsor” view. For “who sponsors podcast Y” use particle_podcast_get_sponsors. For top advertisers across the catalog use particle_podcast_get_sponsor_leaderboard.

Inputs

Output

A markdown document with ## Ad presence for <company_id> and KV lines for **Total ads:**, **Podcast reach:** (distinct podcasts), **Episode reach:** (distinct episodes), **Read mix:** (host-read vs pre-recorded counts). When recent placements exist, a ### Recent placements section follows with bullets formatted Sponsor — Product on Podcast (podcast_slug) [HOST_READ|PRE_RECORDED]. When include=["publishers"] is set, a ### Top publishers section follows with bullets formatted Publisher Name (publisher_slug) — N ads on M of K podcasts (P% of catalog). include=["podcasts"] adds a ### Podcasts section (Title (podcast-slug) — N ads across M episodes, last YYYY-MM-DD), include=["segments"] a ### Recent ad reads section (bold segment title with read type, episode attribution and slug, playback offsets, and the AI summary on the following line), and include=["co_advertisers"] a ### Co-advertisers section (Sponsor A (slug) × Sponsor B (slug) — N shared episodes). For ad volume over time, see particle_podcast_get_ad_trends with mode=timeseries. Sample (company_slug="shopify"):

Example