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Particle API gives you what’s inside the audio. Every episode is transcribed and diarized, broken into structural segments, distilled into engagement-scored clips, and linked to a knowledge graph of people, organizations, and companies. The same identifiers connect a guest on one podcast to a company’s full profile, its product hierarchy, and the sponsors funding the shows where it’s discussed. Use it to track what people are saying, find the most quotable moments on any subject, follow how companies show up across audio, or build research tools that read audio the way they read text.

Quickstart

Make your first call and trace one entity across podcasts, dialogue, and companies in five minutes.

Podcasts

Episodes, transcripts, segments, clips, and the bias analysis behind every show.

Companies

Cross-referenced identifiers (CIK, ticker, domain, QID, entity slug) and full product hierarchies.

Knowledge graph

People, organizations, and places — the connective tissue between audio and structured data.

Podcast advertising

Sponsor breakdowns, leaderboards, co-occurrence, and per-company ad presence.

API reference

Every endpoint, request, and response schema.

Connect an agent

Point Claude, Cursor, Codex, or ChatGPT at the MCP server, or hand any agent the setup playbook at api.particle.pro/agents.md.

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What you can access

  • Transcripts: diarized dialogue with word-level timestamps for every episode.
  • Segments and clips: AI-derived topical sections, and engagement-scored highlight clips with playable audio.
  • Search and mentions: dialogue search by meaning or exact phrase, and every line naming a person or company.
  • Guests: who appears where, who is trending, and where a guest could appear next.
  • Sponsors and ads: who advertises on which shows, read types and placements, leaderboards, and prospecting.
  • Rankings and ratings: Apple and Spotify chart positions, movers, history, and listener reviews.
  • Bias and brand suitability: political-bias and GARM suitability profiles per show and publisher.
  • Companies and the knowledge graph: cross-referenced identifiers, product hierarchies, people, organizations, places, and a topic taxonomy.
  • Alerts: watch an entity for mentions or appearances and receive email, Slack, or signed webhooks.

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Built for

  • AI agents over MCP, with slug-first tools that compose into research loops
  • Media intelligence, PR, and brand monitoring
  • Sponsorship and advertising research
  • Guest booking and talent research
  • Products that read audio the way they read text

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Machine-readable