ToolsThe story, in brief

Radar makes podcasts searchable — and usable by AI agents

130,000 podcasts just became AI-native. Particle's Radar opens a searchable archive to agents via API and MCP.

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AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A new layer of AI-accessible content infrastructure: podcast transcription and indexing at scale, with agent integration built in from day one. Practitioners can now route podcast data into agent workflows and retrieval systems; this shifts podcasts from consumer content to a structured data source.

The key facts

9 to know
  1. Particle's Radar platform transcribes and indexes 130,000+ podcasts

  2. Content made searchable via web interface

  3. API and MCP (Model Context Protocol) access for AI agents

  4. Launched August 26, 2026

  5. Enables agents to consume and act on podcast conversations as structured data

  6. Particle's Radar transcribes and indexes 130,000+ podcasts

  7. Searchable via web interface

  8. Addresses podcast discoverability and machine-readability gap

  9. Enables agents to consume and act on podcast intelligence

Go to the source

TechCrunch AItechcrunch.com

Publisher excerpt: Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents through an API and MCP.
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