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Particle Pro – Podcast Advertising Recommendations for a Company
x402
Particle Pro – Podcast Advertising Recommendations for a Company is a paid API for AI agents from api.particle.pro, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Returns podcasts a company does NOT yet advertise on, ranked by relevance to the shows it already advertises on — a buy-side prospect list for podcast ad placements.
Price / call$0.03
Success—
StatusUnknown
How this service works
List podcasts a company could advertise on next. Returns shows the company does NOT advertise on, ranked by how related they are to the shows it DOES — the buy-side prospect list.
Output
A ranked list of podcasts the company does not yet advertise on, each with a relevance/calibration score (and optional band/strength tier), an opaque pagination cursor for subsequent pages, and — if include=via is requested — the company's own current ad shows that semantically drove each recommendation.
Example use cases
Media buyer expanding a brand's podcast buys
“I'm planning an audio ad campaign for Nike — can you get me a list of podcasts they're not already advertising on, ranked by how closely they match Nike's current show roster? Show me the source shows that drove each pick so I can explain the recommendations to the client.”
Ad sales rep identifying upsell prospects
“I work in podcast ad sales and want to pitch new shows to Shopify — can you find the podcasts Shopify doesn't advertise on yet but that are most similar to the ones they do? Give me the top 20 results in English.”
Competitive intelligence on a rival brand's ad gaps
“Can you run a podcast recommendation list for HubSpot and filter to only shows with a relevance score above 0.7? I want to find the strongest untapped opportunities they're missing and see which of their existing shows are driving those suggestions.”
Technical details
Endpoint
GEThttps://api.particle.pro/v1/companies/:id/podcast/recommendationsWhen to prefer
Use this endpoint when you need a buy-side prospect list — showing where a brand should advertise next based on its existing podcast ad footprint. Prefer it over the general 'related podcasts' endpoint when the use case is specifically about a company's advertising gap analysis rather than podcast-to-podcast similarity. It is ideal for media planners, ad sales teams, and brand strategists who need actionable, company-specific recommendations rather than generic podcast discovery.
Side effects
- Unknown company identifier returns 404 or empty result
- Company with no existing ad placements returns empty recommendations (nothing to base similarity on)
- Very restrictive min_score or language filter returns zero results within the 200-recommendation cap
- Invalid cursor causes pagination error
- Rate limit or payment failure (x402) blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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