Particle: Get Publisher Advertising Leaderboard

Rank podcast publishers (networks) by an advertising metric such as ad_count, unique_sponsors or ads_per_active_podcast.

Tool ID: particle_get_publisher_advertising_leaderboard

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_publisher_advertising_leaderboard',
  {
    "limit": 25,
    "cursor": "cursor_123",
    "metric": "ad_count"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute particle_get_publisher_advertising_leaderboard --input '{
  "limit": 25,
  "cursor": "cursor_123",
  "metric": "ad_count"
}' --json

Example response

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

{
  "data": {
    "data": [
      {
        "ad_count": 123,
        "ads_per_active_podcast": 123,
        "coverage": {
          "active_coverage": 123,
          "active_podcasts": 123,
          "total_podcasts": 123
        },
        "episode_reach": 123,
        "publisher": {
          "id": "id_123",
          "name": "Example"
        },
        "rank": 123,
        "unique_sponsors": 123
      }
    ],
    "has_more": true
  }
}

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

Input reference

Ranks podcast publishers by an advertising activity metric across their entire catalog. ads_per_active_podcast is the monetization-density metric — small sub-networks (e.g. ‘iHeartPodcasts and The Volume’, ‘Dan Patrick Network’) typically rank far above broad catalogs on this dimension.

Name	Type	Required	Default	Details
`payload.limit`	`integer`	No	`25`	Results per page Format: `int64`. Minimum: 1. Maximum: 100.
`payload.cursor`	`string`	No	—	Opaque pagination cursor from previous response
`payload.metric`	`"ad_count" \| "unique_sponsors" \| "podcast_reach" \| "episode_reach" \| "ads_per_active_podcast"`	No	`"ad_count"`	Metric to rank publishers by. ads_per_active_podcast surfaces monetization density (small sub-networks often outrank big catalogs). Ranking reflects an all-time MV-fresh snapshot. This endpoint does not currently support time-window filters. Allowed: `ad_count`, `unique_sponsors`, `podcast_reach`, `episode_reach`, `ads_per_active_podcast`.
`payload.min_active_podcasts`	`integer`	No	`5`	Only rank publishers with at least this many active podcasts (catalog podcasts that have run at least one detected ad). Guards ads_per_active_podcast and the other density-style metrics against tiny catalogs dominating the leaderboard — single-show publishers can otherwise rank #1 on ads_per_active_podcast purely on noise. Format: `int64`. Minimum: 1. Maximum: 1000.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Provider response payload.
`result.data.cursor`	`string`	No	—	Pass to next request for more results
`result.data.data`	`array`	Yes	—	List of results
`result.data.data[].ad_count`	`integer`	Yes	—	Total ads across the publisher’s catalog Format: `int64`.
`result.data.data[].ads_per_active_podcast`	`number`	Yes	—	Mean ad count across active podcasts — monetization density. Format: `double`.
`result.data.data[].coverage`	`object`	Yes	—	—
`result.data.data[].coverage.active_coverage`	`number`	Yes	—	active_podcasts / total_podcasts, clamped to [0, 1]. Treat as a confidence proxy for the rolled-up totals. Format: `double`.
`result.data.data[].coverage.active_podcasts`	`integer`	Yes	—	Number of catalog podcasts that have at least one detected ad. Format: `int64`.
`result.data.data[].coverage.total_podcasts`	`integer`	Yes	—	Number of podcasts in the publisher’s catalog (denormalized from podcast_publishers.podcast_count). Format: `int64`.
`result.data.data[].episode_reach`	`integer`	Yes	—	Distinct episodes with ads Format: `int64`.
`result.data.data[].publisher`	`object`	Yes	—	—
`result.data.data[].publisher.id`	`string`	Yes	—	Publisher ID
`result.data.data[].publisher.name`	`string`	Yes	—	Publisher name
`result.data.data[].publisher.slug`	`string`	No	—	Human-readable slug identifier (e.g., ‘goalhanger’, ‘iheartpodcasts’). When present, accepted in place of the ID anywhere a publisher reference is taken in the API. Occasionally absent on publishers whose name doesn’t slugify (e.g., scripts not representable in ASCII URL slugs).
`result.data.data[].rank`	`integer`	Yes	—	Position in the leaderboard Format: `int64`.
`result.data.data[].unique_sponsors`	`integer`	Yes	—	Distinct sponsors across the catalog Format: `int64`.
`result.data.has_more`	`boolean`	Yes	—	Whether more results exist
`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