Podcast search
Searches across actively transcribed podcasts to make podcast conversations discoverable.
Audio and video / product dossier
Searches transcribed podcast conversations through an API and MCP.
Product brief
The web is searchable. Podcasts should be too. Today, Particle is introducing Radar, the podcast search engine. Podcasts hold some of the most thoughtful and timely conversations happening right now, but that knowledge is hard to find. Radar searches 130,000+ actively transcribed podcasts, with ~20,000 new episodes daily. Millions of hours and billions of lines, fully searchable. Radar is powered by Particle’s Podcast Intelligence API, which allows agents to search across podcasts via API/MCP.
Why we selected it
Makes a difficult-to-query research corpus accessible at scale, with API and MCP access that fits the current push toward agent-connected business tools.
Product preview saved with our daily selection
Capability scan
Only capabilities supported by the product information we collected are listed here.
Searches across actively transcribed podcasts to make podcast conversations discoverable.
The description states that Radar searches more than 130,000 actively transcribed podcasts.
The stated corpus adds approximately 20,000 new episodes daily.
Particle’s Podcast Intelligence API allows agents to search across podcasts through API and MCP.
Best-fit use cases
FAQ
Radar is a podcast search engine from Particle.
It searches actively transcribed podcasts; the description states coverage of more than 130,000 podcasts.
Particle states that approximately 20,000 new episodes are added daily.
Yes. The description says Particle’s Podcast Intelligence API lets agents search across podcasts via API and MCP.