---
title: "Particle launches Radar: making podcasts searchable and usable by AI agents"
source: "TechCrunch：AI（RSS）"
source_tier: "t2"
url: "https://techcrunch.com/2026/08/26/radar-makes-podcasts-searchable-and-usable-by-ai-agents/"
permalink: "https://feed.astralor.com/items/itm_a2f909ccb59a48f2de4b692f"
published: "2026-08-26T15:47:28.000Z"
score: 72
channel: "ai"
tags: ["MCP","Particle","Radar","Podcast Intelligence"]
---

# Particle launches Radar: making podcasts searchable and usable by AI agents

## AI commentary

> This news is especially valuable for developers working on information retrieval and AI agents. Podcasts have long been an overlooked corpus, and Radar turns them into a programmable resource; its data quality and coverage are worth watching.

## At a glance

Particle has launched Radar, a new podcast intelligence platform that transcribes and analyzes over 130,000 podcasts, turning their conversations into searchable web content and making them accessible to AI agents via an API and MCP. The platform aims to unlock the vast amount of untapped audio information in podcasts, enabling research, summarization, and intelligent Q&A. With Radar, podcast content shifts from pure audio to structured, interactive data assets, providing a fresh data source for AI applications.

## Key points

- Radar transcribes and analyzes more than 130,000 podcasts, enabling web-wide search.
- Data is accessible to AI agents via API and MCP protocols for easy integration.
- Podcast conversations can be used for research, summarization, and intelligent Q&A.

## Full text

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.

---

Verify against the original before citing; curated by Astral Feed: https://feed.astralor.com/items/itm_a2f909ccb59a48f2de4b692f