List sponsors a podcast could pitch

List sponsors a podcast could pitch. Returns advertisers that run on the podcast's related shows but not on this one, ranked by how related those venues are, how much the sponsor buys there, and how recently — a prospecting list for a show

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

GET https://api.particle.pro/v1/podcasts/:id/recommendations/sponsors

Our checks, last 30 days

We never call tools that send, buy, move money or file anything, not even without paying.

Example input (from the provider)

{
  "method": "GET",
  "pathParams": {
    "id": "all-in"
  },
  "queryParams": {
    "active_since": "2026-01-01T00:00:00Z"
  },
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "method": {
          "enum": [
            "GET"
          ],
          "type": "string"
        },
        "pathParams": {
          "properties": {
            "id": {
              "description": "Podcast slug (e.g., 'all-in'), internal ID, or numeric iTunes ID",
              "type": "string"
            }
          },
          "required": [
            "id"
          ],
          "type": "object"
        },
        "queryParams": {
          "properties": {
            "active_since": {
              "description": "Only sponsors whose most recent ad across the related shows was published on or after this ISO 8601 date or date-time \u2014 the 'still buying' filter.",
              "type": "string"
            },
            "cursor": {
              "description": "Opaque pagination cursor from previous response",
              "type": "string"
            },
            "exclude_top_advertisers": {
              "description": "Drop the N most active advertisers corpus-wide (by lifetime ad count) from the list. The list is strongest beyond the largest programmatic advertisers, which every list already names; 50 removes the head, 200 keeps only the long tail.",
              "format": "int64",
              "type": "integer"
            },
            "include": {
              "description": "Optional response sections. Pass include=via to attach, for each recommended sponsor, the related shows that run it (the peer set to cite in a pitch). Pass include=contacts to attach up to three people at the sponsor's company most likely to own a sponsorship decision, with their role class and LinkedIn URL.",
              "items": {
                "type": "string"
              },
              "type": "array"
            },
            "limit": {
              "description": "Results per page",
              "format": "int64",
              "type": "integer"
            },
            "min_score": {
              "description": "Only recommendations with a score at or above this value. Omit (or 0) for every recommendation; the band field is the recommended way to filter by strength.",
              "format": "double",
              "type": "number"
            }
          },
          "type": "object"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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