particle_podcast_get_guest

A guest’s podcast-appearance profile — lifetime stats plus optional appearances, per-podcast rollup, and suitability exposure.

A guest’s podcast-appearance profile: lifetime stats (appearances, distinct podcasts, first/last appearance) plus their most frequent podcasts. Guests are people — the same slug works with particle_person_get for the biographical profile.

Request optional sections via include: appearances for the most recent episode appearances (episode and podcast slugs included for follow-up calls), podcasts for the per-podcast rollup, suitability for brand-suitability exposure across the podcasts they appear on, recommended_podcasts for the five shows they could plausibly appear on next — shows related to the ones they have guested on, minus those, each with the venues that led there (the pitch list; the paged form is GET /v1/podcasts/guests/{id}/recommendations/podcasts).

Returns not_found for people who exist but have never appeared on a podcast — use particle_person_get for those.

Inputs

Field	Type	Required	Default	Description
guest_slug	string	yes	—	Person slug (e.g. "sam-altman") from particle_podcast_list_guests, particle_person_resolve, or particle_entity_resolve.
include	array of enums	no	[]	Optional response sections: appearances (most recent episode appearances with episode/podcast slugs), podcasts (per-podcast rollup of where they appear), suitability (brand-suitability exposure across the podcasts they appear on), recommended_podcasts (the five shows they could plausibly appear on next, with the venues behind each pick). Default response is the profile + lifetime stats. Unknown values are rejected with invalid_parameter.

Output

A markdown document with the guest’s name as an H2, then a **Slug:** row, a **Current role:** row (Title, Company) when known, and a **Stats:** row (N appearances across M podcasts, last YYYY-MM-DD). A ### Top podcasts section always lists their most frequent shows. The following H3 sections appear when the matching include value was requested:

• ### Podcasts — the full per-podcast rollup, each Podcast title (podcast-slug) — N appearances, last YYYY-MM-DD.
• ### Recent appearances — Episode title (episode-slug) on Podcast title (podcast-slug) — YYYY-MM-DD.
• ### Suitability exposure — Lifetime and Last 90 days tier distributions (SAFE N, LIMITED N, …), plus a notes paragraph when present.
• ## Recommended podcasts for <name> (N) — only when include contains recommended_podcasts. Numbered lines formatted **Podcast title** (podcast-slug) — score 0.71, strong followed by a via: Show A, Show B line naming the person’s own shows that led to the pick; a single sentence instead when nothing can be recommended yet (no identified appearances, or the related sets behind their shows have not been computed). The JSON form carries the section as recommended_podcasts (podcasts plus a note when empty).

The podcast-slug and episode-slug values round-trip into the podcast tools.

Sample (guest_slug="sam-altman", include=["podcasts"], truncated):

## Sam Altman

**Slug:** sam-altman
**Current role:** CEO, OpenAI
**Stats:** 38 appearances across 22 podcasts, last 2026-05-28

### Top podcasts

- All-In (all-in) — 6 appearances, last 2026-05-28
- Lex Fridman Podcast (lex-fridman-podcast) — 3 appearances, last 2026-03-12

### Podcasts

- All-In (all-in) — 6 appearances, last 2026-05-28
- Lex Fridman Podcast (lex-fridman-podcast) — 3 appearances, last 2026-03-12
- Hard Fork (hard-fork) — 2 appearances, last 2026-01-09

Example

Agent calls: particle_podcast_get_guest {
  "guest_slug": "sam-altman",
  "include": ["appearances", "suitability"]
}

Related

• REST equivalent: GET /v1/podcasts/guests/{id}.
• For the biographical profile (bio, external links, role history), use particle_person_get with the same slug.
• Discover guests with particle_podcast_list_guests.
• The paged pitch list behind include: ["recommended_podcasts"] is GET /v1/podcasts/guests/{id}/recommendations/podcasts; the shows it names feed particle_podcast_resolve and particle_podcast_list_related.