> ## Documentation Index
> Fetch the complete documentation index at: https://deepline.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Particle: List Company Advertising Placements

> List a company's individual podcast ad placements with podcast attribution, from its company slug or domain. Includes SDK V2 examples, schemas, and cost.

List a company's individual podcast ad placements with podcast attribution, from its company slug or domain.

> [!NOTE]
>
> Tool ID: `particle_list_company_advertising_placements`

## 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.

```ts theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
import { Deepline } from 'deepline';

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

console.log(result.toolResponse.raw);
```

### CLI

```bash theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
deepline tools execute particle_list_company_advertising_placements --input '{
  "id": "id_123"
}' --json
```

## Example response

The static output schema lacks the details for a reliable example. Use `deepline describe particle_list_company_advertising_placements --json` for the complete live contract.

## Input reference

Returns a newest-first, keyset-paginated feed of physical podcast ad placements with a known episode publication time, attributed to a company, with episode and podcast context plus every company-scoped sponsor attribution.

| 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.id` | `string` | Yes | — | Company slug (e.g. 'apple'), domain (e.g. 'apple.com'), or ID |
| `payload.sponsor_id` | `string` | No | — | Optional sponsor ID. Selects placements attributed to this sponsor while preserving co-sponsors in the response. |
| `payload.podcast_id` | `string` | No | — | Optional podcast ID, slug, or Apple/iTunes collection ID |
| `payload.since` | `string` | No | — | Only include ads from episodes published on or after this ISO 8601 date or date-time |
| `payload.until` | `string` | No | — | Only include ads before this ISO 8601 date-time. A bare date includes that whole UTC day. |

<details>
  <summary>Show raw input schema</summary>

  ### Input JSON Schema

  ```json theme={"languages":{"custom":["/languages/deepline-prompt.json"]}}
  {
    "type": "object",
    "description": "Returns a newest-first, keyset-paginated feed of physical podcast ad placements with a known episode publication time, attributed to a company, with episode and podcast context plus every company-scoped sponsor attribution.",
    "properties": {
      "limit": {
        "type": "integer",
        "description": "Results per page",
        "default": 25,
        "minimum": 1,
        "maximum": 100,
        "format": "int64"
      },
      "cursor": {
        "type": "string",
        "description": "Opaque pagination cursor from previous response"
      },
      "id": {
        "type": "string",
        "description": "Company slug (e.g. 'apple'), domain (e.g. 'apple.com'), or ID"
      },
      "sponsor_id": {
        "type": "string",
        "description": "Optional sponsor ID. Selects placements attributed to this sponsor while preserving co-sponsors in the response."
      },
      "podcast_id": {
        "type": "string",
        "description": "Optional podcast ID, slug, or Apple/iTunes collection ID"
      },
      "since": {
        "type": "string",
        "description": "Only include ads from episodes published on or after this ISO 8601 date or date-time"
      },
      "until": {
        "type": "string",
        "description": "Only include ads before this ISO 8601 date-time. A bare date includes that whole UTC day."
      }
    },
    "required": [
      "id"
    ],
    "additionalProperties": false
  }
  ```
</details>

## 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[].audio_url` | `string` | No | — | Direct audio URL for this segment |
| `result.data.data[].description` | `string` | No | — | AI-generated segment description |
| `result.data.data[].duration_seconds` | `number` | Yes | — | Segment duration Format: `double`. |
| `result.data.data[].end_line` | `integer` | No | — | Last transcript line covered by this segment (1-indexed, inclusive). Omitted for episodes segmented before line ranges were recorded. Format: `int64`. |
| `result.data.data[].end_seconds` | `number` | Yes | — | End time within the episode — when the segment's last spoken line ends. Where start\_line/end\_line are present, segments partition the transcript's lines rather than tiling the wall-clock timeline, and the interval between this and the next segment's start\_seconds contains no transcribed speech (typically under a second, occasionally minutes of music or silence). Segments without a recorded line range were produced by an earlier segmenter and a small share of them do leave transcript lines See the live schema for the complete constraint. |
| `result.data.data[].episode` | `object` | No | — | — |
| `result.data.data[].episode.id` | `string` | Yes | — | Episode ID |
| `result.data.data[].episode.podcast` | `object` | No | — | — |
| `result.data.data[].episode.podcast.best_rank` | `object` | No | — | — |
| `result.data.data[].episode.podcast.best_rank.captured_at` | `string` | Yes | — | Format: `date-time`. |
| `result.data.data[].episode.podcast.best_rank.category_slug` | `string` | No | — | — |
| `result.data.data[].episode.podcast.best_rank.chart_type` | `"top_podcasts"` | Yes | — | Allowed: `top_podcasts`. |
| `result.data.data[].episode.podcast.best_rank.country` | `string` | No | — | — |
| `result.data.data[].episode.podcast.best_rank.rank` | `integer` | Yes | — | Format: `int64`. |
| `result.data.data[].episode.podcast.best_rank.source` | `"apple" \| "spotify"` | Yes | — | Allowed: `apple`, `spotify`. |
| `result.data.data[].episode.podcast.id` | `string` | Yes | — | Podcast ID |
| `result.data.data[].episode.podcast.image_url` | `string` | No | — | Cover image URL |
| `result.data.data[].episode.podcast.popularity` | `number` | No | — | Global popularity percentile in (0,1], a cume\_dist ranking over all currently-charting podcasts (Apple Podcasts charts). Higher is more popular. Omitted when the podcast is not currently charting, on endpoints that build this resource from a projection rather than the full podcast row, and in episode stream, feed and archive payloads, which are stored and replayed: read it live from the podcast endpoints. Format: `double`. |
| `result.data.data[].episode.podcast.publisher` | `object` | No | — | — |
| `result.data.data[].episode.podcast.publisher.id` | `string` | Yes | — | Publisher ID |
| `result.data.data[].episode.podcast.publisher.name` | `string` | Yes | — | Publisher name |
| `result.data.data[].episode.podcast.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[].episode.podcast.slug` | `string` | No | — | Human-readable slug identifier |
| `result.data.data[].episode.podcast.title` | `string` | Yes | — | Podcast title |
| `result.data.data[].episode.published_at` | `string` | No | — | Publication date Format: `date-time`. |
| `result.data.data[].episode.slug` | `string` | No | — | Human-readable slug identifier |
| `result.data.data[].episode.title` | `string` | Yes | — | Episode title |
| `result.data.data[].episode.web_url` | `string` | No | — | The episode's page on Radar, where it plays beside its transcript: [https://radar.particle.pro/podcasts/\&#123;podcast\&#125;/episodes/\&#123;episode\&#125](https://radar.particle.pro/podcasts/\&#123;podcast\&#125;/episodes/\&#123;episode\&#125);, each segment the slug or, when there is none, the raw UUID. Append ?t=\{seconds} to start at a moment. The hit's own url field already does. Omitted for back-catalogue episodes we have not ingested, which have no page, and in episode stream, feed and archive payloads stored before this field shipped (they are replayed as stored): build it from the slugs, or fetch See the live schema for the complete constraint. |
| `result.data.data[].id` | `string` | Yes | — | Unique identifier |
| `result.data.data[].number` | `integer` | Yes | — | Segment position within the episode Format: `int64`. |
| `result.data.data[].placement_type` | `string` | Yes | — | Where the ad appeared in the episode (PRE\_ROLL, MID\_ROLL, POST\_ROLL) |
| `result.data.data[].read_type` | `string` | No | — | For AD segments, how the ad was delivered (HOST\_READ, PRE\_RECORDED, NETWORK\_PROMO) |
| `result.data.data[].sponsors` | `array \| null` | Yes | — | Company-scoped sponsors attributed to this physical ad read |
| `result.data.data[].sponsors[].company` | `object` | No | — | — |
| `result.data.data[].sponsors[].company.description` | `string` | No | — | Short company description, when known. |
| `result.data.data[].sponsors[].company.domain` | `string` | No | — | Primary website domain (e.g. 'nvidia.com'), when known. |
| `result.data.data[].sponsors[].company.id` | `string` | Yes | — | Company identifier (domain, slug, or encoded ID) |
| `result.data.data[].sponsors[].company.image_url` | `string` | No | — | Company logo or image URL |
| `result.data.data[].sponsors[].company.name` | `string` | Yes | — | Company name |
| `result.data.data[].sponsors[].company.slug` | `string` | No | — | Stable human-readable handle (the linked knowledge-graph slug, e.g. 'nvidia'), when known. Companies have no slug of their own. prefer this for display and pass it (or id) to /v1/companies. |
| `result.data.data[].sponsors[].company.ticker` | `string` | No | — | Primary stock ticker symbol, when listed. |
| `result.data.data[].sponsors[].id` | `string` | Yes | — | Unique identifier |
| `result.data.data[].sponsors[].name` | `string` | Yes | — | Sponsor name |
| `result.data.data[].start_line` | `integer` | No | — | First transcript line covered by this segment (1-indexed, inclusive). Line numbers match the number field of GET /v1/podcasts/episodes/\{id}/transcript lines. This segment's end\_line + 1 is the next segment's start\_line, and the segments together cover every line of the transcript. Omitted for episodes segmented before line ranges were recorded. Format: `int64`. |
| `result.data.data[].start_seconds` | `number` | Yes | — | Start time within the episode — when the segment's first spoken line begins Format: `double`. |
| `result.data.data[].summary` | `string` | No | — | AI-generated segment summary |
| `result.data.data[].title` | `string` | Yes | — | AI-generated segment title |

The table shows the first 50 fields. Expand the raw schema below for every field.

> [!NOTE]
>
> This output schema is too large for an inline display. Read the complete live contract with `deepline describe particle_list_company_advertising_placements --json`.

## Deepline cost

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

## Related documentation

* [Particle provider guide](https://deepline.com/docs/providers/particle/guide.md)
* [SDK V2 quickstart](https://deepline.com/docs/sdk-v2/quickstart.md)
* [SDK reference](https://deepline.com/docs/sdk-v2/sdk-reference.md)
* [Run tools across a CSV](https://deepline.com/docs/sdk-v2/batch-csv.md)


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