Radar
AIA podcast search engine and API that transcribes 130,000+ shows so people and AI agents can search, quote and monitor what was actually said.
Radar
A podcast search engine and API that transcribes 130,000+ shows so people and AI agents can search, quote and monitor what was actually said.
About Radar
Radar is a podcast intelligence platform that transcribes more than 130,000 podcasts — including all Apple Top 200 shows across 135 categories, with roughly 20,000 new episodes indexed daily — and layers semantic understanding on top of the raw text. Transcripts carry speaker labels and rich metadata, so Radar can recognise the people, companies, brands, products and topics being discussed and return a specific quote or passage with a timestamped, self-contained clip. Beyond the web interface, its primary product is an API and MCP server that lets AI agents tap the same audio intelligence programmatically, closing a gap where most crawlers only see text. Radar also runs entity-mention alerts delivered by email, Slack or webhook, and a dedicated podcast ad search engine that finds every episode where a company advertises and trends it over time. Additional layers cover listener ratings and reviews, chart rankings, audience-size estimates, sponsorship data, political bias analysis and brand suitability.
Key Features
Use Cases
Frequently asked questions about Radar
What is Radar?
A podcast search engine and API that transcribes 130,000+ shows so people and AI agents can search, quote and monitor what was actually said.
How does Radar work?
Radar works by combining Semantic Podcast Search: Query 130,000+ transcribed shows by topic, company or person and get back the exact passage rather than a whole-episode match., Timestamped Clip Extraction: Radar pre-selects notable, self-contained clips with timestamps so you can listen to or read a specific moment without the full episode., Entity Recognition and Tracking: Speaker labels plus tagged people, companies, brands, products and topics let you follow a single entity across the whole podcast corpus., Configurable Alerts: Mention alerts arrive by email, Slack or webhook in real time or as a daily or weekly digest, filterable by guest, topic or top-podcasts-only., Podcast Ad Search Engine: Find every episode where a given company advertises and track how that spend trends over time. to help users with Investment Research: Hedge funds pull statements executives make on podcasts that never surface in filings or text-based web crawls., Grounding AI Agents in Audio: Developers connect the MCP or API so their agents can cite what was actually said on a podcast instead of only web text., Brand and Reputation Monitoring: Set alerts on a company or product name and get notified whenever it is mentioned across top shows., Competitive Ad Intelligence: Marketers audit where a competitor advertises, on which shows, and how that footprint changes over time., Journalism and Fact-checking: Reporters locate the exact quote and timestamp behind a claim attributed to a podcast appearance..
What are the main features of Radar?
Key features include Semantic Podcast Search: Query 130,000+ transcribed shows by topic, company or person and get back the exact passage rather than a whole-episode match., Timestamped Clip Extraction: Radar pre-selects notable, self-contained clips with timestamps so you can listen to or read a specific moment without the full episode., Entity Recognition and Tracking: Speaker labels plus tagged people, companies, brands, products and topics let you follow a single entity across the whole podcast corpus., Configurable Alerts: Mention alerts arrive by email, Slack or webhook in real time or as a daily or weekly digest, filterable by guest, topic or top-podcasts-only., Podcast Ad Search Engine: Find every episode where a given company advertises and track how that spend trends over time..
Who is Radar for?
Radar is useful for anyone interested in Investment Research: Hedge funds pull statements executives make on podcasts that never surface in filings or text-based web crawls., Grounding AI Agents in Audio: Developers connect the MCP or API so their agents can cite what was actually said on a podcast instead of only web text., Brand and Reputation Monitoring: Set alerts on a company or product name and get notified whenever it is mentioned across top shows., Competitive Ad Intelligence: Marketers audit where a competitor advertises, on which shows, and how that footprint changes over time., Journalism and Fact-checking: Reporters locate the exact quote and timestamp behind a claim attributed to a podcast appearance..
How much does Radar cost?
Radar is a paid product. Check the official site for current pricing.
How do I get started with Radar?
Visit https://radar.fm/ to sign up and explore Radar.
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