particle_podcast_list_related

List the shows most related to a podcast — “shows like this show”. Each result carries the related show’s slug, a calibrated score in (0, 1], and a coarse band (strong: same beat and audience; moderate: overlapping subject or audience; weak: a loose connection). Branch on the band rather than on raw score thresholds. Add include: ["basis"] to see why each pair is related: content similarity of recent episodes, shared topics, shared guests (named), same publisher, and shared sponsors. Use it to explain a recommendation, or to keep only pairs related for the reason you care about — shared guests for booking, content for media planning. Related sets are precomputed per show from its transcripts, topic profile, guest roster, network and advertisers, restricted to the show’s language, and refreshed as new episodes land. Only shows above a relatedness floor are listed, machine-generated and farmed feeds are never listed, and a publisher’s duplicate feeds of one show appear once (sets computed before that rule are collapsed on read, best-effort, so a vector-store outage can briefly let a republished feed through). An empty first page is not an error: its coverage says whether the set is not computed yet (not_computed), nothing cleared the floor (none_above_floor), or the request’s filters and the default policy (flagged feeds, duplicate feeds, removed shows) removed everything (filtered_out). An empty page reached through a cursor is simply the end of the list and carries no coverage. This is not a topic browser — for shows that cover a topic use particle_podcast_resolve with topic_slug. It is not a guest lookup — for where a person has appeared use particle_podcast_get_guest. It is not advertiser co-occurrence — use particle_podcast_get_sponsors. For the five most related shows inline on a resolve, pass include: ["related"] to particle_podcast_resolve instead.

Inputs

Field	Type	Required	Default	Description
`podcast_slug`	string	yes	—	The source podcast — slug (e.g. `all-in`), internal ID, or numeric iTunes ID.
`include`	array of enums	no	`[]`	`basis` attaches the signals behind each result: `content_similarity`, `topic_overlap` + `shared_topics`, `shared_guest_count` + `shared_guests`, `same_publisher`, `shared_sponsor_count`, `shared_category_count`.
`min_score`	number (0–1)	no	—	Drop results below this fused score. Prefer the `band`.
`language`	string	no	—	Only shows in this language (ISO 639-1 code, e.g. `en`; `fr-CA` is reduced to `fr`).
`publishing_status`	enum	no	—	`active` (an episode in the last 90 days) or `dormant`; shows with no known episode date match neither.
`suitability_tier`	enum	no	—	`SAFE`, `LIMITED`, `SENSITIVE` or `UNSAFE`; never-assessed shows are excluded when set.
`min_popularity`	number (0–1]	no	—	Only shows at or above this popularity percentile. A floor above 0 excludes non-charting shows; 0 applies no floor.
`exclude_same_publisher`	boolean	no	false	Drop shows from the source show’s own publisher.
`limit`	integer (1–50)	no	10	Results per page.
`cursor`	string	no	—	Opaque pagination cursor.

Output

## Related podcasts for <Title> (N) followed by one numbered line per show — **Title** (slug) — score 0.91, strong — and, with include: ["basis"], an indented reason line such as content similarity 0.84; shared topics: Venture Capital, Startups; 3 shared guest(s): …; same publisher. When more pages exist, a horizontal rule and a **Cursor:** line are appended. An empty first page carries the coverage message (and its status) instead of an error; an empty page reached through a cursor renders No results on this page. Slugs are edges: every related show’s slug feeds particle_podcast_resolve and particle_podcast_list_episodes; person slugs in the basis feed particle_podcast_get_guest; topic slugs feed topic_slug.

Example

Agent calls: particle_podcast_list_related {
  "podcast_slug": "all-in",
  "include": ["basis"],
  "limit": 3
}

Server returns:
## Related podcasts for All-In with Chamath, Jason, Sacks & Friedberg (3)

1. **This Week in Startups** (`this-week-in-startups`) — score 0.91, strong
   content similarity 0.84; shared topics: Venture Capital, Startups; 9 shared guest(s): …; 3 shared sponsor(s)
2. **The Twenty Minute VC** (`the-twenty-minute-vc`) — score 0.87, strong
   content similarity 0.79; shared topics: Venture Capital; 4 shared guest(s): …
3. **Invest Like the Best** (`invest-like-the-best`) — score 0.82, strong
   content similarity 0.77; shared topics: Investing, Venture Capital

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Tools

particle_podcast_list_related

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