PARTICLEPODCAST INTELLIGENCE
For hedge funds & private equity

The market intelligence most desks are missing.

CEOs, industry experts, regulators, and analysts talk for hours on podcasts every day, on the record and in public. Particle turns 130,000+ of those shows into structured data, searchable within minutes of airing, and pipes it straight into your models and your stack.

Sign up in a few clicks · Make your first call in minutes
$10 in free credit to start≈ 1,000 requests to evaluate the corpus
LIVE
Capabilities

Four ways to work the corpus.

Search by company, by theme, or by entity, and get alerted the moment something airs. Each result is cited back to the exact quote, speaker, and episode.

MentionsTrack a company or person by name. Each mention comes with the exact quote, the speaker, and the timestamp.
ThemesSearch a thesis or sector by meaning with semantic search, not just keywords. Surface where a topic is discussed and read what the people closest to it actually said.
AlertsWatch a company, a person, or a theme, and get an email the moment it airs, filtered by relevance, language, and audience reach.
EntitiesPeople and companies linked into one graph. Resolve a name once, then traverse to its competitors, products, and past appearances.
Live from the corpus

Real output, sourced and dated.

Here are two semantic searches run through our data, “GLP-1 exposure” and “commercial real estate,” with each line speaker-attributed, dated, and linked so you can verify it against the audio.

Access

Query it from your own stack.

The same corpus behind Radar is available as a REST API and over MCP, on one key. Pull mentions into a signal pipeline, run a semantic search from a notebook, or point a research agent at it and let it ask in plain language.

MENTIONS · RESTapi.particle.pro
curl "https://api.particle.pro/v1/podcasts/mentions?company_id=nvidia" \
  -H "X-API-Key: $PARTICLE_API_KEY"

# each line naming the company, with speaker, show, and timestamp
CLAUDE · PARTICLE MCPmcp.particle.pro

Use Particle to uncover trends in freight demand

Claude
Searched across 130,000+ shows for “freight demand trends” · since Jun 15

Three trends stand out in recent freight coverage:

  1. Truck capacity is tightening. Craig Fuller, CEO of FreightWaves, on tender rejections: “Tender rejections, a measure of relative capacity, a measurement of which loads a trucking company is willing to take under contract, has eclipsed to new cycle highs over the last couple of months.” He puts the number at “14%, which is a very strong and robust number compared to where we were a year ago at 5%.” FreightCasts, Jul 28, 10:14
  2. Intermodal is taking share in the East. Fuller again: “Intermodal has gained a lot of power on the eastern half of the US relative to truck as shippers deal with tightening capacity and higher rates.” FreightCasts, Jul 28, 9:19
  3. Imports surprised to the upside. Stuart Charles, FreightWaves' rail and intermodal expert, on the ports of Long Beach and Southern California seeing “near record volumes in June, which was actually unexpected and spoke to a consumer resiliency that hadn't been realized before.” FreightCasts, Jul 28, 26:56

REST

Endpoints for mentions, semantic search, transcripts, episodes, guests, and the entity graph. JSON or LLM-tuned markdown via output_format.

MCP

Point an agent at mcp.particle.pro and it queries in natural language. Works with Claude Code, Codex, Cursor, and anything that speaks MCP.

FAQ

Frequently Asked Questions

Where does the data come from, and what's covered?

We ingest and transcribe the audio of 130,000+ podcasts, including finance, policy, and industry shows, then detect the people and companies named. Coverage is mostly US and English today, and expanding continuously.

What does it cost to start?

$10 in free credit, roughly 1,000 requests, to evaluate. After that it's $29/mo for 10,000 requests, $399/mo for 100,000, or custom pricing for larger volumes backed by SLAs.

How is this different from AlphaSense, Tegus, or an expert network?

Those index filings, earnings calls, and paid expert interviews. Particle covers the 130,000+ podcasts where the same executives, officials, and analysts talk candidly and publicly, and it comes back as structured data you can query rather than documents you have to read.

How fresh is it?

New episodes are transcribed and queryable within minutes of airing, and alerts fire in near-real-time. When a CEO says something on a morning show, it's in the corpus before the day is out.

REST or MCP?

Both, on the same key. REST at api.particle.pro with an X-API-Key header, or point an agent at mcp.particle.pro and it queries in natural language.

Can we see it working on our names first?

Yes. Book a call and we'll run your tickers and themes through the corpus live, then talk through how it would sit in your workflow.

Get started

Glean insights from across the podcast landscape.

Take $10 of credit and make your first call in minutes, or have us run your names first.

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