Particle: Get Podcast Advertising

Get a podcast’s advertising profile (total ads, unique sponsors, host-read share) from its slug.

Tool ID: particle_get_podcast_advertising

Run this action

Use the TypeScript SDK for one call. Use ctx.tools.execute(...) inside a Play for durable calls, scheduled calls, or CSV processing.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'particle_get_podcast_advertising',
  {
    "id": "id_123"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute particle_get_podcast_advertising --input '{
  "id": "id_123"
}' --json

Example response

The SDK returns this shape at result.toolResponse.raw. The example values illustrate the response.

{
  "data": {
    "avg_ads_per_episode": 123,
    "episodes_with_ads": 123,
    "podcast_id": "podcast_123",
    "read_type_breakdown": {
      "host_read": 123,
      "pre_recorded": 123
    },
    "top_sponsors": [
      {
        "ad_count": 123,
        "episode_count": 123,
        "sponsor_name": "Example"
      }
    ],
    "total_ads": 123,
    "unique_sponsors": 123
  }
}

Use deepline describe particle_get_podcast_advertising --json for the latest machine-readable contract.

Input reference

Returns advertising intelligence for a specific podcast, including aggregate stats, read type breakdown, and top sponsors. Identify the podcast by slug (e.g., ‘all-in’) or ID.

Name	Type	Required	Default	Details
`payload.id`	`string`	Yes	—	Podcast slug (e.g., ‘all-in’), internal ID, or numeric iTunes ID

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.avg_ads_per_episode`	`number`	Yes	—	Average ads per episode Format: `double`.
`result.data.episodes_with_ads`	`integer`	Yes	—	Number of episodes containing ads Format: `int64`.
`result.data.podcast_id`	`string`	Yes	—	Podcast identifier
`result.data.podcast_slug`	`string`	No	—	Human-readable slug (when available)
`result.data.read_type_breakdown`	`object`	Yes	—	—
`result.data.read_type_breakdown.host_read`	`integer`	Yes	—	Number of host-read ads Format: `int64`.
`result.data.read_type_breakdown.pre_recorded`	`integer`	Yes	—	Number of pre-recorded ads Format: `int64`.
`result.data.top_sponsors`	`array \| null`	Yes	—	Most frequent sponsors
`result.data.top_sponsors[].ad_count`	`integer`	Yes	—	Total number of ads Format: `int64`.
`result.data.top_sponsors[].company_id`	`string`	No	—	Linked company identifier (domain, slug, or encoded ID)
`result.data.top_sponsors[].episode_count`	`integer`	Yes	—	Number of episodes with ads from this sponsor Format: `int64`.
`result.data.top_sponsors[].slug`	`string`	No	—	Stable human-readable handle (the linked knowledge-graph slug, e.g. ‘nvidia’), when known. Prefer it (or company_id) as a /v1/companies key.
`result.data.top_sponsors[].sponsor_id`	`string`	No	—	Linked sponsor ID, when known. Works as the {id} of /v1/podcasts/advertising/sponsors/{id} and its sub-resources, including when the sponsor has no linked company.
`result.data.top_sponsors[].sponsor_name`	`string`	Yes	—	Sponsor name
`result.data.total_ads`	`integer`	Yes	—	Total number of ads detected Format: `int64`.
`result.data.unique_sponsors`	`integer`	Yes	—	Number of distinct sponsors Format: `int64`.
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0 per pricing unit.
Provider-native pricing may still exist outside Deepline credit billing.

​Run this action

​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation