Name: Particle Pro
Author: particle

Particle Pro MCP

Podcast intelligence for agents: transcripts, clips, speaker diarization, mention tracking.

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What it does

Podcast intelligence for agents: transcripts, clips, speaker diarization, mention tracking.

Quickstart

# 1 — add it to Claude Code
claude mcp add --scope user --transport http particle-pro-mcp https://mcp.particle.pro

# 2 — ask your agent for something these tools do
#   particle_alert_create, particle_alert_delete, particle_alert_get and 28 more

Particle Pro costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

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Tool surface

What the model actually sees. Descriptions are diffed on every release — see version history.

Only tools that write or reach the network

Create an alert that watches a single entity and sets up recurring email delivery to external recipients whenever it is mentioned on a podcast episode (kind=ENTITY_MENTION) or appears as a speaker (kind=PODCAST_SPEAKER). Pass the entity slug from a resolve tool — resolve a name with particle_entity_resolve, then create the alert with the slug it returns. An alert watches exactly one entity; to cov

Parameter	Type	Required	Notes
delivery_cadence	string	no	How often matches are emailed: REALTIME (default, one email per match), DAILY (one bundled email each morning), or WEEKLY (one bundled email Monday).
description	string	no	Optional longer description of what the alert is for.
entities	array	no	The entity to watch, as a single slug from the resolve tools (particle_entity_resolve, particle_person_resolve, particle_company_resolve). Person, company, and place/other (knowledge-graph) slugs are
filters	object	no	Persistent narrowing applied to every surface the alert produces (matches list, realtime email, daily/weekly digest). Omit for no filters — every detected match is surfaced. See AlertFiltersInput for
is_active	boolean	no	Whether the alert produces matches. Defaults to true. Set false to create it paused.
keyword	string	no	KEYWORD_MENTION alerts only (and required for them): the phrase to watch, e.g. Lightfield. Matches like a double-quoted keyword_search phrase — the words adjacent and in order, ignoring case and punct
kind	string	no	What signal to watch for. ENTITY_MENTION (default) fires whenever a watched entity is mentioned on a podcast episode. PODCAST_SPEAKER fires only when a watched person is themself an identified speaker
notifications	array	no	Email addresses for recurring alert notifications. Only recipients verified for your organization receive alert emails; pending recipients may be saved but stay silent until verified. At least one rec
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
title	string	yes	Human-readable title for the alert (e.g. 'OpenAI mentions').

Delete an alert. This is a soft delete: the alert stops producing matches and disappears from particle_alert_list, but its past matches and deliveries are retained for audit. To pause an alert instead of removing it, use particle_alert_update with is_active=false. Only the alert's creator or an organization OWNER or ADMIN can delete it; an API key acts as the user who created the key. Other calle

Parameter	Type	Required	Notes
alert_id	string	yes	Alert id to delete.

Fetch a single alert's full configuration — title, kind, cadence, watched entities (with names), notification emails, and any active filters (languages, relevance, source_popularity, speaker_roles). The filters section is omitted when the alert carries none. By default the response is just the configuration; request include=['matches'] to embed the most recent matches it has caught and include=[

Parameter	Type	Required	Notes
alert_id	string	yes	Alert id from particle_alert_list or particle_alert_create.
include	array	no	Optional sections to embed: 'matches' for the most recent matches the alert has caught, 'deliveries' for the email delivery audit log.
match_limit	integer	no	How many recent matches to embed when include=matches (1-25, default 5). Use particle_alert_list_matches for full pagination and transcript windows.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter

List the alerts in your project, newest first. Each entry carries the alert id — feed it into particle_alert_get for full configuration, particle_alert_list_matches for what it has caught, or particle_alert_update / particle_alert_delete to manage it.

Parameter	Type	Required	Notes
cursor	string	no	Opaque pagination cursor from a previous response's cursor field.
limit	integer	no	Alerts per page (1-100, default 25).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter

List the matches an alert has caught, newest first — the payoff of an alert. Each match names the watched entity and the podcast episode it was detected on (with episode and podcast slugs that feed particle_podcast_get_episode and particle_podcast_resolve). Use view=detailed to include the transcript excerpts around each mention, and after/before to scope to a date range. Backfilled matches (from

Parameter	Type	Required	Notes
after	string	no	Only matches detected on or after this ISO date (e.g. 2026-05-01).
alert_id	string	yes	Alert id whose matches to list.
before	string	no	Only matches detected on or before this ISO date.
cursor	string	no	Opaque pagination cursor from a previous response's cursor field.
limit	integer	no	Matches per page (1-100, default 25).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
view	string	no	Detail level. 'summary' (default) returns each match's entity, episode, and counts. 'detailed' also includes the transcript excerpt windows around each mention.

Preview how often an alert would fire BEFORE creating it. Sweeps the past N days (default 7, max 30) for the given entity (or keyword, for kind=KEYWORD_MENTION) and returns the total match count, a per-day breakdown, and a small sample of the most recent matches with episode context. Use this to size an alert (REALTIME vs DAILY vs WEEKLY cadence) or to confirm the entity slug watches the right thi

Parameter	Type	Required	Notes
entities	array	no	The entity to preview, as a single slug (from the resolve tools), same as particle_alert_create.entities — exactly one for entity kinds, omitted for KEYWORD_MENTION.
filters	object	no	Same as particle_alert_create.filters. Pass the filters you intend to save so the estimate reflects what the alert would actually surface. Only languages and speaker_roles narrow the historical sweep;
keyword	string	no	Same as particle_alert_create.keyword — required for KEYWORD_MENTION. A phrase that matched more than 700 podcast episodes in the past week is rejected as too broad, as on create.
kind	string	no	Signal to preview. Defaults to ENTITY_MENTION.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
window_days	integer	no	How many days back to sweep (1-30, default 7).

Update an existing alert. Only the fields you pass change; the entities and notifications lists, when provided, replace the whole set (pass a single entity slug from the resolve tools, same as particle_alert_create — an alert watches exactly one entity). A KEYWORD_MENTION alert takes a new keyword instead of entities. Use is_active to pause or resume an alert without deleting it. An alert's ki

Parameter	Type	Required	Notes
alert_id	string	yes	Alert id to update.
delivery_cadence	string	no	New delivery cadence.
description	string	no	New description.
entities	array	no	Replacement watch target as a single entity slug (from the resolve tools). When provided, replaces the entire existing watch list — exactly one entity; omit to leave entities unchanged. Not accepted o
filters	object	no	Replace the alert's filter set wholesale. Omit to leave the existing filters unchanged; send an empty object {} to clear all filters. Same four axes as particle_alert_create.filters (languages, releva
is_active	boolean	no	Pause (false) or resume (true) the alert.
keyword	string	no	Replacement phrase for a KEYWORD_MENTION alert; omit to leave it unchanged. Not accepted on other kinds. Matches already recorded keep the phrase they fired on.
notifications	array	no	Replacement recipients for recurring alert emails. Only recipients verified for your organization receive alert emails; pending recipients stay silent until verified. When provided, replaces the entir
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
title	string	no	New title.

Dispatch any public Particle tool by name. Compatibility fallback for harnesses that block calling tools that weren't advertised on tools/list — every public Particle tool is executable by name, so prefer calling discovered tools directly when your harness allows it. Identical metering and plan gating apply either way. Use particle_catalog to discover tool names and input schemas. A tool particle_

Parameter	Type	Required	Notes
arguments	object	no	Arguments object for the target tool, matching its input schema.
tool	string	yes	Flat name of any public Particle tool (e.g. 'particle_podcast_get_episode'). Discover names and schemas with particle_catalog.

Browse the full Particle tool catalog. Your tools/list shows only the default categories, but EVERY public Particle tool is callable by name regardless of what was advertised — call this tool to discover the rest. Without arguments: the categorical menu (every category with tool names, one-line summaries, and an ↳ line listing each tool's expand options). With category: the full input schema

Parameter	Type	Required	Notes
category	string	no	Exposure category name (e.g. 'podcast_bias'). When set, the response includes the FULL input schema for every tool in that category — call this before invoking a tool you haven't seen advertised. When
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter

Return a bundled profile for one company: identifiers (slug, ticker, domain, CIK, QID, linked entity), name, and description. Request optional sections via include: 'people' for current leadership and notable people (person slugs feed particle_person_get), 'products' for the three-level product hierarchy, 'competitors' for the competitor list, 'external_links' for the company's LinkedIn, soci

Parameter	Type	Required	Notes
company_slug	string	yes	Company identifier — accepts slug (e.g. 'nvidia'), domain (e.g. 'nvidia.com'), or canonical ID. If you already know the domain you can call this tool directly without first running particle_company_re
include	array	no	Optional response sections: 'people' (current leadership and notable people), 'products' (three-level product hierarchy), 'competitors' (competitor list), 'podcast_recommendations' (the ten podcasts t
product_status	string	no	Comma-separated lifecycle filter for include=products (e.g. 'active' or 'active,announced'). Allowed values: active, announced, discontinued, rumored. Defaults to 'active'.

Resolve a company by free-text name, ticker, SEC CIK, Wikidata QID, or domain. Returns candidates with the agent-facing identifier (slug, falling back to domain or id) you should pass to particle_company_get, particle_company_get_podcast_ad_presence, particle_podcast_find_mentions (as company_slug), or particle_podcast_list_episodes. At least one identifier is required. Multiple a

Parameter	Type	Required	Notes
cik	string	no	SEC Central Index Key (e.g. '0000320193'). Comma-separated for bulk.
domain	string	no	Company website domain (e.g. 'apple.com'). Comma-separated for bulk.
limit	integer	no	Maximum candidates to return (1-25, default 5).
qid	string	no	Wikidata QID (e.g. 'Q312'). Comma-separated for bulk.
query	string	no	Free-text company name (case-insensitive). Use for human-typed names.
ticker	string	no	Stock ticker symbol (e.g. 'NVDA', 'AAPL'). Comma-separated for multi-ticker lookup.

One knowledge-graph entity's profile: name, kind, description, and Wikipedia link. Use it to confirm what a slug from particle_entity_resolve actually refers to — especially for the long tail that isn't a person or company (places, organizations, events, products, concepts). When the entity is a linked person or company the response carries the person_slug / company_slug — prefer `particle_pers

Parameter	Type	Required	Notes
entity_slug	string	yes	Knowledge-graph entity slug or encoded ID from particle_entity_resolve, episode entity listings, or mention payloads (e.g. 'germany', 'bitcoin').
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter

Resolve any named thing — person, company, place, or other entity — by free-text name in one union search. Each candidate carries a type and the canonical slug for that type: - person: the canonical person slug. Feed it into particle_person_get, every person_slug parameter (particle_podcast_find_mentions, particle_podcast_search_transcripts, particle_podcast_list_episodes), or `p

Parameter	Type	Required	Notes
limit	integer	no	Maximum candidates per query (1-10, default 5).
query	string	yes	Free-text name(s) of a person, organization, place, or company to resolve (e.g. 'sam altman', 'nvidia'). Case-insensitive. Comma-separated for bulk lookup (e.g. 'sam altman, kara swisher, marc andrees

Describe one occupation or field of research and, on request, who is booked under it: its parent, children and crosswalk by default; include: ["top_guests"] ranks the guests listed under it by podcast appearances in a window (default the last 30 days, at most 90), and include: ["top_podcasts"] ranks the shows that booked them. standing="established" ranks only credentialed or recognized expe

Parameter	Type	Required	Notes
field	string	no	A field of research's ANZSRC 2020 code, slug or title from particle_expertise_resolve (e.g. 'banking-finance-and-investment'). Pass exactly one of occupation or field.
include	array	no	Optional sections: 'top_guests' (the guests in the code most booked in the window, with appearances, shows and last appearance) and 'top_podcasts' (the shows that booked the code's guests most). Defau
limit	integer	no	Rows per top_ section (1-25, default 10).
min_guests	integer	no	top_podcasts keeps shows that booked at least this many distinct guests in the code in the window (default 1).
min_podcasts	integer	no	top_guests keeps guests seen on at least this many distinct shows in the window (default 1); raise it to favor guests booked across the medium over a show's regulars.
occupation	string	no	An occupation's SOC 2018 or ISCO-08 code, slug or title from particle_expertise_resolve (e.g. 'cardiologists'). Pass exactly one of occupation or field.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
since	string	no	Window start for the top_ sections (YYYY-MM-DD). Defaults to 30 days before until; the window may span at most 90 days.
standing	string	no	Rank only guests whose standing is recognized this way (e.g. 'established' for credentialed experts). Applies to the top_ sections.
until	string	no	Window end for the top_ sections (YYYY-MM-DD, inclusive). Defaults to now.

Turn free text into the occupation and field-of-research codes the speaker-expertise filters take. Call it first whenever a question restricts who is speaking by occupation, profession, credentials or industry ("doctors", "medical professionals", "economists", "people in finance", "lawyers") — the filters, not search wording, decide who speaks — and again when a filter returns `unresolved_referenc

Parameter	Type	Required	Notes
limit	integer	no	Maximum codes to return (1-25, default 5).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
parent	string	no	A code, slug or title whose children to list (e.g. '29-0000' for the healthcare occupations, or '38' for economics). With query, searches only below it.
query	string	no	Free text naming an occupation or a field of research (e.g. 'cardiologist', 'financial analyst', 'constitutional law'). Singular or plural; words match by prefix. Omit with parent to list that code's
standard	string	no	Which codes to search: 'occupation' (SOC 2018, with ISCO-08 equivalents), 'field' (ANZSRC 2020 fields of research), or 'any' (default) for both.

Return a person's profile: name, current role, and bio, keyed by the canonical person slug from particle_person_resolve. Request optional sections via include: 'external_links' for LinkedIn/Wikipedia/social profiles, 'podcast_appearances' for their most recent podcast appearances (episode and podcast slugs included for follow-up calls), 'companies' for the full role history, 'sports' for an a

Parameter	Type	Required	Notes
include	array	no	Optional response sections: 'external_links' (LinkedIn, Wikipedia, social profiles), 'podcast_appearances' (recent podcast appearances with episode and podcast slugs), 'companies' (the full role histo
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
person_slug	string	yes	Canonical person slug from particle_person_resolve (e.g. 'sam-altman'), or the encoded person ID.

Resolve a person by free-text name. Returns ranked candidates with the canonical person slug — the stable handle accepted by particle_person_get, by every person_slug parameter (particle_podcast_find_mentions, particle_podcast_search_transcripts, particle_podcast_list_episodes), and by particle_podcast_get_guest's guest_slug. For bulk resolution, pass a comma-separated query — e

Parameter	Type	Required	Notes
limit	integer	no	Maximum candidates per query (1-10, default 5).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
query	string	yes	Free-text person name (e.g. 'sam altman'). Case-insensitive. Comma-separated for bulk lookup — each name is resolved independently and grouped in the response.

Find dialogue lines where a specific person or company is named in podcast transcripts. ## Three response modes format="summary" (default, wide scan). Returns up to limit episodes (reverse-chronological), each with metadata + the first 10 mention-only lines (just the lines naming the entity, no surrounding dialogue). Use this to see *what's been said across episodes* and decide which epi

Parameter	Type	Required	Notes
company_slug	string	no	Company slug, domain, or canonical ID (e.g. 'nvidia' or 'nvidia.com'). Resolves to the company's linked entity.
context_lines	integer	no	Surrounding dialogue lines around each mention (1-20, default 2). Detail mode only — ignored in summary and compact.
cursor	string	no	Opaque pagination cursor from a previous summary or compact response's cursor field. Summary and compact modes.
entity_slug	string	no	Knowledge-graph entity slug from particle_entity_resolve for the long tail that isn't a person or company — places, organizations, events, products, concepts (e.g. 'germany'). Use person_slug for peop
episode_slug	string	no	Episode slug(s) or canonical ID(s). For format='detail', required: pass one slug for a single drill-in or up to 10 comma-separated slugs (e.g. 'all-in-200,all-in-201,all-in-202') for a multi-episode d
format	string	no	Response shape. 'summary' (default) returns many episodes (reverse chron) with metadata plus the first few mention-only lines per episode — use this to scan and pick episodes to drill into. 'detail' r
guest_capacity	string	no	Only mentions spoken by a guest who knows their field in this capacity (e.g. 'public_official' for politicians). particle_expertise_resolve names the capacity an everyday word means.
guest_field	string	no	Only mentions spoken by a guest listed under this ANZSRC 2020 field of research: a code, slug or title from particle_expertise_resolve.
guest_in_field	boolean	no	Only mentions spoken by a guest speaking within their own field (the guest the other guest_ filters select, when given).
guest_occupation	string	no	Only mentions spoken by a guest listed under this occupation: a SOC 2018 or ISCO-08 code, slug or title from particle_expertise_resolve, or a SOC group or everyday name (e.g. 'financial-and-investment
guest_practicing	boolean	no	Only mentions spoken by a guest who still works in guest_occupation, which must be a SOC 2018 occupation or group.
guest_seniority	string	no	Only mentions spoken by a guest at this seniority or above.
guest_standing	string	no	Only mentions spoken by a guest whose standing is recognized this way: 'established' (conferred by others), 'self_described', or 'unverified'.
language	string	no	Restrict to episodes of podcasts in this language — ISO 639-1 code (e.g. 'fr'). Matches the podcast's primary language subtag, so 'fr' covers 'fr-FR'.
limit	integer	no	Episodes per page (1-50, default 10). Summary and compact modes — detail returns one episode regardless.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
person_slug	string	no	Person slug or encoded person ID from particle_person_resolve, particle_entity_resolve, or the guest tools (e.g. 'sam-altman'). One of person_slug, company_slug, or entity_slug is required.
podcast_slug	string	no	Restrict mentions to a single podcast by slug, internal ID, or numeric iTunes ID. A particle.pro or Radar show link also works.
role	string	no	Constrain how the entity participates: guest, host, panelist, correspondent, or mention.
since	string	no	Only episodes published on or after this ISO 8601 date (e.g. 2025-01-01).

Return a bundled overview of one podcast episode: title, podcast, speakers (with entity slugs), top mentioned entities, and segment/clip counts. By default the response is lean — counts plus the top mentioned entities. Request optional sections via include: 'segments' for the structural outline with timestamps, 'entities' for the complete entity list, 'clips' for engagement-ranked highlight cli

Parameter	Type	Required	Notes
episode_slug	string	yes	Episode slug or canonical ID. A particle.pro or Radar episode link also works.
include	array	no	Optional response sections: 'transcript' (bounded dialogue transcript — large for long episodes; narrow it with the transcript_* sub-params), 'segments' (structural outline with timestamps), 'entities
transcript_end	number	no	Transcript end clip in seconds.
transcript_format	string	no	Transcript format for include=transcript. Defaults to text.
transcript_speaker	string	no	Filter the transcript to one speaker (name or entity slug).
transcript_start	number	no	Transcript start clip in seconds.

Time-bucketed episode counts — the purpose-built answer to "how often is X discussed over time". Counts episodes matching the same filters as particle_podcast_list_episodes (person, company, entity, podcast, keyword, language, duration, transcript availability) per day, week, or month, plus range totals. keyword_search additionally counts matching transcript segments per bucket (exact counts);

Parameter	Type	Required	Notes
company_slug	string	no	Company slug, domain, or ID. Resolves to the linked entity.
entity_slug	string	no	Knowledge-graph entity slug from particle_entity_resolve for the long tail that isn't a person or company (e.g. 'germany'). Use person_slug for people and company_slug for companies.
guest_capacity	string	no	Only episodes with a guest who knows their field in this capacity (e.g. 'executive_founder' for founders). It narrows the other filters; particle_expertise_resolve names the capacity an everyday word
guest_field	string	no	Only episodes with a guest listed under this ANZSRC 2020 field of research: a code, slug or title from particle_expertise_resolve (e.g. 'banking-finance-and-investment').
guest_in_field	boolean	no	Only episodes with a guest speaking within their own field (the guest the other guest_ filters select, when given).
guest_occupation	string	no	Only episodes with a guest listed under this occupation: a SOC 2018 or ISCO-08 code, slug or title from particle_expertise_resolve, or a SOC group or everyday name (e.g. 'cardiologists', '29-1212', 'p
guest_practicing	boolean	no	Only episodes with a guest who still works in guest_occupation, which must be a SOC 2018 occupation or group (e.g. '29-1212' or 'physicians').
guest_seniority	string	no	Only episodes with a guest at this seniority or above.
guest_standing	string	no	Only episodes with a guest whose standing is recognized this way: 'established' (conferred by others), 'self_described', or 'unverified'.
has_transcript	boolean	no	Only count episodes with a completed transcript.
interval	string	no	Bucket width. Weeks start on Monday; all buckets are UTC-aligned. Defaults to week.
keyword_search	string	no	Keyword filter over transcript content. Double-quoted substrings must appear as exact phrases; unquoted terms must all appear in one transcript segment. Adds per-bucket mention counts to the response.
language	string	no	Restrict to episodes of podcasts in this language — ISO 639-1 code (e.g. 'fr'). Matches the podcast's primary language subtag, so 'fr' covers 'fr-FR'.
max_duration	integer	no	Maximum episode duration in seconds.
min_duration	integer	no	Minimum episode duration in seconds.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
person_slug	string	no	Person slug or encoded person ID (e.g. 'sam-altman'). Counts episodes featuring the person as a speaker — and, when the person has a linked knowledge-graph entity, episodes that mention them.
podcast_slug	string	no	Podcast slug, internal ID, or numeric iTunes ID. Restrict to one podcast. A particle.pro or Radar show link also works.
published_after	string	no	Inclusive range start as an ISO 8601 date or date-time. Omit to aggregate all time.
published_before	string	no	Range end as an ISO 8601 date or date-time. Defaults to now.

A guest's podcast-appearance profile: lifetime stats (appearances, distinct podcasts, first/last appearance) plus their most frequent podcasts. Guests are people — the same slug works with particle_person_get for the biographical profile. Request optional sections via include: 'appearances' for the most recent episode appearances (episode and podcast slugs included for follow-up calls), 'podc

Parameter	Type	Required	Notes
guest_slug	string	yes	Person slug (e.g. 'sam-altman') from particle_podcast_list_guests, particle_person_resolve, or particle_entity_resolve.
include	array	no	Optional response sections: 'appearances' (most recent episode appearances with episode/podcast slugs), 'podcasts' (per-podcast rollup of where they appear), 'suitability' (brand-suitability exposure
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter

Podcast chart rankings from Apple Podcasts and Spotify, in four modes: - chart (default): the current chart for a source/country/category slot, or — with podcast_slug — every chart slot that podcast currently holds. - movers: the biggest rank changes over window_days (risers, fallers, debuts, exits). - history: past snapshots for a chart slot, or — with podcast_slug — one podcast

Parameter	Type	Required	Notes
category_slug	string	no	Category slug (e.g. 'comedy', 'business'). Omit for the overall chart.
change	string	no	Mode=movers only: filter by change type. Defaults to all.
country	string	no	ISO 3166-1 alpha-2 country code (e.g. 'us', 'gb', 'jp'). Defaults to us.
cursor	string	no	Opaque pagination cursor from a previous response. Not supported by mode=movers.
limit	integer	no	Rows per page (1-100, default 25).
mode	string	no	What to return. 'chart' (default): the current chart — or, with podcast_slug, every chart slot the podcast currently holds. 'movers': biggest rank changes over window_days (risers, fallers, debuts, ex
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
podcast_slug	string	no	Podcast slug, internal ID, or numeric iTunes ID. With mode=chart: that podcast's current chart appearances across every slot. With mode=history: that podcast's chart history. A particle.pro or Radar s
since	string	no	Mode=history only: only snapshots captured on or after this ISO 8601 timestamp.
source	string	no	Ranking source platform. Defaults to apple.
until	string	no	Mode=history only: only snapshots captured on or before this ISO 8601 timestamp.
window_days	integer	no	Mode=movers only: comparison window in days (1-30, default 1 = vs. yesterday).

Split a person's, company's or entity's podcast mentions by who said them: the speakers' occupations (SOC 2018) or fields of research (ANZSRC 2020). Answers "who is talking about NVIDIA — investors, engineers, journalists?" in one call: each group's mention lines, share, distinct speakers and episodes over a window (default the last 30 days, at most 365), optionally bucketed by day, week or month.

Parameter	Type	Required	Notes
by	string	no	Group the speakers by 'occupation' (SOC 2018, default) or 'field' (ANZSRC 2020 fields of research).
company_slug	string	no	Company slug or domain from particle_company_resolve (e.g. 'nvidia'). Resolves to the company's linked entity.
entity_slug	string	no	Knowledge-graph entity slug from particle_entity_resolve for anything that isn't a person or company (e.g. 'germany').
include_ads	boolean	no	Count mentions inside ad reads too. Off by default: ad copy is not a speaker's voice.
interval	string	no	Add each group's mentions per day, week or month.
keyword_search	string	no	Split the lines that say these words instead of an entity's mentions: every word in one line, case-insensitive; wrap words in double quotes to require them adjacent and in order. Words count as spoken
level	string	no	Group level: 'major' (default; SOC major groups or ANZSRC divisions) or 'detailed' (detailed occupations or ANZSRC groups).
limit	integer	no	Groups to return, most mentioned first (1-50, default 10).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
person_slug	string	no	Person slug from particle_person_resolve (e.g. 'sam-altman'). One of person_slug, company_slug, entity_slug or keyword_search is required.
podcast_slug	string	no	Only mentions inside this podcast (slug from particle_podcast_resolve).
published_after	string	no	Only episodes published on or after this date (YYYY-MM-DD). Defaults to 30 days before published_before; the window may span at most 365 days for an entity and 90 for a keyword.
published_before	string	no	Only episodes published on or before this date (YYYY-MM-DD). Defaults to now.
publisher_slug	string	no	Only mentions on podcasts of this publisher (network), by slug.
speakers	string	no	Whose lines count: 'all' (default, hosts included) or 'guests' (guests and panelists only).

Browse AI-extracted highlight clips across the catalog, ranked by engagement potential — the shareable moments. Filter by podcast, episode, clip type (FUNNY, CONTROVERSIAL, INSIGHTFUL, ...), minimum engagement score, or speaker — speaker takes a person slug and returns only clips of that person talking ('an insightful Sam Altman clip'). Pass clip_id for one clip's full detail (description, so

Parameter	Type	Required	Notes
clip_id	string	no	Return one clip's full detail instead of a listing. Clip IDs come from this tool, particle_podcast_get_episode with include=clips, and search-result overlapping clips.
cursor	string	no	Opaque pagination cursor from a previous response.
episode_slug	string	no	Restrict the listing to one episode (slug or ID). A particle.pro or Radar episode link also works.
include	array	no	With clip_id only: 'transcript' attaches the clip's dialogue transcript.
limit	integer	no	Clips per page (1-50, default 10).
min_engagement	integer	no	Minimum engagement potential score (0-100). Above 70 is typical for a strong clip.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
podcast_slug	string	no	Restrict the listing to one podcast (slug, internal ID, or numeric iTunes ID). A particle.pro or Radar show link also works.
speaker	string	no	Restrict the listing to clips whose primary speaker is this person — a person slug (e.g. 'sam-altman' from particle_person_resolve), a knowledge-graph entity slug for the same person, or an ID.
type	string	no	Clip type filter.

List episodes across the catalog with rich filters: by podcast, person, company, language, date range, duration, or transcript availability. By default it lists the episodes we have ingested. Pass transcript_status with podcast_slug to reach the show's back catalogue — older episodes discovered in its feed but not transcribed, marked requestable. Their transcript, segments, speakers and entit

Parameter	Type	Required	Notes
company_slug	string	no	Company slug, domain, or ID. Resolves to the linked entity.
cursor	string	no	Opaque pagination cursor from a previous response.
entity_slug	string	no	Knowledge-graph entity slug from particle_entity_resolve for the long tail that isn't a person or company — places, organizations, events, products, concepts (e.g. 'germany'). Use person_slug for peop
guest_capacity	string	no	Only episodes with a guest who knows their field in this capacity (e.g. 'executive_founder' for founders). It narrows the other filters; particle_expertise_resolve names the capacity an everyday word
guest_field	string	no	Only episodes with a guest listed under this ANZSRC 2020 field of research: a code, slug or title from particle_expertise_resolve (e.g. 'banking-finance-and-investment').
guest_in_field	boolean	no	Only episodes with a guest speaking within their own field (the guest the other guest_ filters select, when given).
guest_occupation	string	no	Only episodes with a guest listed under this occupation: a SOC 2018 or ISCO-08 code, slug or title from particle_expertise_resolve, or a SOC group or everyday name (e.g. 'cardiologists', '29-1212', 'p
guest_practicing	boolean	no	Only episodes with a guest who still works in guest_occupation, which must be a SOC 2018 occupation or group (e.g. '29-1212' or 'physicians').
guest_seniority	string	no	Only episodes with a guest at this seniority or above.
guest_standing	string	no	Only episodes with a guest whose standing is recognized this way: 'established' (conferred by others), 'self_described', or 'unverified'.
has_transcript	boolean	no	Only include episodes with a completed transcript. Superseded by transcript_status=transcribed; do not pass both.
language	string	no	Restrict to episodes of podcasts in this language — ISO 639-1 code (e.g. 'fr'). Matches the podcast's primary language subtag, so 'fr' covers 'fr-FR'.
limit	integer	no	Episodes per page (1-50, default 10).
max_duration	integer	no	Maximum episode duration in seconds.
min_duration	integer	no	Minimum episode duration in seconds.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
person_slug	string	no	Person slug or encoded person ID from particle_person_resolve, particle_entity_resolve, or the guest tools (e.g. 'sam-altman'). Episodes featuring or mentioning the person.
podcast_slug	string	no	Podcast slug, internal ID, or numeric iTunes ID. Restrict to one podcast. A particle.pro or Radar show link also works.
published_after	string	no	ISO 8601 date or date-time.
published_before	string	no	ISO 8601 date or date-time.

Browse podcast guests across the catalog, in two opinionated modes: - directory (default): the guest directory ranked by lifetime appearances (guests with 2+ appearances). - trends: who's making the rounds right now — guests with appearances on 2+ distinct podcasts in the last 30 days, which surfaces cross-show press tours rather than show regulars. The press-tour shape is enforced: every

Parameter	Type	Required	Notes
appeared_since	string	no	Only guests with an appearance on or after this date (YYYY-MM-DD or ISO 8601). Directory mode only.
capacity	string	no	Only guests who know their field in this capacity. Directory mode only.
cursor	string	no	Opaque pagination cursor from a previous response.
employer	string	no	Only guests whose organization is this company (slug from particle_company_resolve, or a domain). Directory mode only.
field	string	no	Only guests listed under this ANZSRC 2020 field of research: a code, slug or title from particle_expertise_resolve (e.g. 'banking-finance-and-investment'). Directory mode only.
include	array	no	Optional per-guest sections: 'expertise' (widens the occupation codes, standing and seniority every row carries to the fuller one-line read with the organization). Directory mode only.
limit	integer	no	Guests per page (1-50, default 20).
mode	string	no	What to return. 'directory' (default): the guest directory ranked by lifetime appearances. 'trends': guests trending right now — appearances on 2+ distinct podcasts in the last 30 days (cross-show pre
occupation	string	no	Only guests listed under this occupation: a SOC 2018 or ISCO-08 code, slug or title from particle_expertise_resolve, or a SOC group or everyday name (e.g. 'cardiologists', '29-1212', 'physicians' or '
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
podcast_slug	string	no	Return one show's guest roster instead of the corpus directory: every guest who has appeared on this podcast, ranked by appearances on the show (no lifetime-appearance floor). Slug from particle_podca
practicing	boolean	no	Only guests who still work in the occupation. Needs a SOC 2018 occupation or group (e.g. '29-1212' Cardiologists or 'physicians'). Directory mode only.
seniority	string	no	Only guests at this seniority or above. Directory mode only.
standing	string	no	Only guests whose standing is recognized this way: 'established' (conferred by others: a credential, a position, recognition in the field), 'self_described', or 'unverified'. Directory mode only.
topic_slug	string	no	Restrict to guests with appearances on episodes classified under this topic (slug from particle_topic_browse, e.g. 'technology/artificial-intelligence'). Ignored when podcast_slug is set.

List the shows most related to a podcast, best first — "shows like this show". Each result carries the related show's slug, a calibrated score in (0,1], and a coarse band (strong: same beat and audience; moderate: overlapping subject or audience; weak: a loose connection) to branch on. Add include: ["basis"] to see WHY each pair is related: content similarity of recent episodes, shared topics, s

Parameter	Type	Required	Notes
cursor	string	no	Opaque pagination cursor from a previous response.
exclude_same_publisher	boolean	no	Drop shows from the source show's own publisher.
include	array	no	Optional response sections. 'basis' attaches, per result, the signals that make the two shows related: content similarity of recent episodes, shared topics, shared guests (named), same publisher, shar
language	string	no	Only shows in this language: an ISO 639-1 code such as 'en' or 'es'.
limit	integer	no	Results per page (1-50, default 10).
min_popularity	number	no	Only shows at or above this popularity percentile (0-1]. A floor above 0 excludes non-charting shows; 0 applies no floor.
min_score	number	no	Drop results below this fused score (0-1]. Prefer branching on each result's band (strong / moderate / weak); score thresholds may be recalibrated as the ranker improves.
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
podcast_slug	string	no	The source podcast — slug (e.g. 'all-in' from particle_podcast_resolve), internal ID, or numeric iTunes ID. A particle.pro or Radar show link also works.
publishing_status	string	no	Only shows that released an episode in the last 90 days ('active') or did not ('dormant'); shows with no known episode date match neither.
suitability_tier	string	no	Only shows whose latest brand-suitability tier is this value; never-assessed shows are excluded.

Episodes from OTHER shows that cover the same story or subject as a given episode, best first — a live nearest-neighbour search over episode content, reranked on shared salient entities, shared topics and a shared news story. Each row carries a calibrated score and a band (strong / moderate / weak) to branch on; pass include: ["basis"] to see the signals behind every match. Each show contributes

Parameter	Type	Required	Notes
cursor	string	no	Opaque pagination cursor from a previous response.
episode_slug	string	yes	Episode slug or ID (from particle_podcast_list_episodes, particle_podcast_get_episode, or a search result). A particle.pro or Radar episode link also works.
include	array	no	'basis' attaches, per result, the signals behind the match: content similarity, shared entities with names, shared topics, a shared news story, shared guests, days apart.
limit	integer	no	Results per page (1-50, default 10).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
published_within_days	integer	no	Only episodes published within this many days of the query episode, on either side. Omit for no window. Use 7–30 for 'who else covered this story'.
same_podcast	boolean	no	Admit episodes of the same show. Off by default — a show's own episodes are its episode list (particle_podcast_list_episodes), not its related content.

Find a podcast by free-text title, exact slug, iTunes ID, or RSS feed URL. Returns slug, title, episode count, bias, and the top recurring speakers (with entity slugs). Use the slug as the agent-facing handle to feed into other podcast tools (particle_podcast_find_mentions, particle_podcast_list_episodes, particle_podcast_get_sponsors). Free-text matching is forgiving — typos, missing or ex

Parameter	Type	Required	Notes
guest_field	string	no	Only shows whose analyzed guests include someone listed under this ANZSRC 2020 field of research: a code, slug or title from particle_expertise_resolve.
guest_occupation	string	no	Only shows whose analyzed guests include someone listed under this occupation: a SOC 2018 or ISCO-08 code, slug or title from particle_expertise_resolve.
include	array	no	Optional non-parameterized hydrations to attach to each result. 'external_links' adds third-party platform presences (directories, social profiles, video channels, publisher websites). 'suitability' a
itunes_id	string	no	Numeric Apple Podcasts / iTunes ID (e.g. '1502871393'). Resolves directly to the matching podcast.
limit	integer	no	Maximum candidates to return (1-25, default 5).
max_promotional_guest_share	number	no	Only shows where at most this share (0-1) of analyzed guest appearances are promotional; 0 keeps only shows with none.
min_established_guest_share	number	no	Only shows where at least this share (0-1) of analyzed guest appearances are by guests of established standing.
min_in_field_guest_share	number	no	Only shows where at least this share (0-1) of analyzed guest appearances are guests speaking within their own field.
min_popularity	number	no	Restrict candidates to podcasts whose global popularity percentile is at least this value (0-1]. Popularity is a cume_dist ranking over currently-charting podcasts; non-charting podcasts are excluded
query	string	no	Free-text search across podcast titles and descriptions (case-insensitive partial match). Omit to fall back to the most recently updated podcasts.
recent_episodes	integer	no	Inline this many of each result's most recent episodes (slug, title, published_at, duration). 0 (default) means none — call particle_podcast_list_episodes if you need more than the inline tail. Capped
rss_url	string	no	Canonical RSS feed URL. Resolves directly to the matching podcast.
slug	string	no	Exact slug match for a known handle (e.g. 'all-in').
suitability_tier	string	no	Filter candidates by brand-suitability tier. Podcasts without a suitability analysis are excluded when set.
topic_slug	string	no	Filter candidates by topic (slug from particle_topic_browse, e.g. 'technology/artificial-intelligence'). Matches podcasts where the topic — or any of its descendants — accounts for a meaningful share

Search the podcast catalog by what is said in episodes — by meaning (semantic_search), by exact phrase (keyword_search), or both at once (hybrid ranking). This is THE way to retrieve relevant dialogue, segments, and clips: each result is one segment of one episode with bounded transcript windows pinpointing the highest-relevance lines, plus any highlight clips that overlap the segment inline o

Parameter	Type	Required	Notes
company_slug	string	no	Company slug, domain, or ID. Resolves to the company's linked entity and applies as a filter.
context	integer	no	Lines of surrounding dialogue around each matched line (1-15, default 1). Widens each match window in place — use a larger value instead of fetching the full transcript when a match needs more context
cursor	string	no	Opaque pagination cursor from a previous response.
entity_slug	string	no	Knowledge-graph entity slug from particle_entity_resolve for the long tail that isn't a person or company — places, organizations, events, products, concepts (e.g. 'germany'). Use person_slug for peop
entity_type	string	no	Narrow to dialogue in episodes that mention any entity of this category — e.g. 'book', 'company', 'movie', 'school'. Use for 'discussions of X that reference some book'. Ignored when person_slug/compa
episode_slug	string	no	Filter to a specific episode by slug or ID. A particle.pro or Radar episode link also works.
format	string	no	Response shape. 'full' (default) carries each match's bounded dialogue windows and overlapping clips. 'compact' returns the same ranked matches with no dialogue — episode and podcast slugs, segment id
guest_capacity	string	no	Only episodes with a guest who knows their field in this capacity (e.g. 'executive_founder' for founders). It narrows the other filters; particle_expertise_resolve names the capacity an everyday word
guest_field	string	no	Only episodes with a guest listed under this ANZSRC 2020 field of research: a code, slug or title from particle_expertise_resolve (e.g. 'banking-finance-and-investment').
guest_in_field	boolean	no	Only episodes with a guest speaking within their own field (the guest the other guest_ filters select, when given).
guest_occupation	string	no	Only episodes with a guest listed under this occupation: a SOC 2018 or ISCO-08 code, slug or title from particle_expertise_resolve, or a SOC group or everyday name (e.g. 'cardiologists', '29-1212', 'p
guest_practicing	boolean	no	Only episodes with a guest who still works in guest_occupation, which must be a SOC 2018 occupation or group (e.g. '29-1212' or 'physicians').
guest_seniority	string	no	Only episodes with a guest at this seniority or above.
guest_standing	string	no	Only episodes with a guest whose standing is recognized this way: 'established' (conferred by others), 'self_described', or 'unverified'.
keyword_match	string	no	How UNQUOTED keyword_search words are applied. 'required' (default) excludes any passage missing one of them, which also makes a hybrid call an intersection with semantic_search. Switch to 'ranked' wh
keyword_search	string	no	Words that must literally be spoken. Use for exact tokens a paraphrase would miss — tickers, product names, drug names, model numbers. Every word must appear in the same passage (see keyword_match), s
language	string	no	Restrict to episodes of podcasts in this language — ISO 639-1 code (e.g. 'fr'). Matches the podcast's primary language subtag, so 'fr' covers 'fr-FR'.
limit	integer	no	Results per page (1-50, default 10).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
person_slug	string	no	Person slug or encoded person ID from particle_person_resolve, particle_entity_resolve, or the guest tools (e.g. 'sam-altman'). Filters results to dialogue featuring this person. For 'every line about

Navigate the topic taxonomy. Without parent_slug, returns the top-level roots (Politics, Business, Technology, etc.). With parent_slug set, returns the direct children of that topic. Topic slugs use a parent/child convention (e.g. politics/elections) and let agents browse the hierarchy to find well-named categories. To find a topic by name instead of walking the tree, pass query (e.g. `

Parameter	Type	Required	Notes
cursor	string	no	Opaque pagination cursor from a previous response.
limit	integer	no	Topics per page (1-100, default 50).
output_format	string	no	Output serialization. 'markdown' (default) returns the LLM-facing rendering. 'json' returns the structured payload as JSON text — use only for programmatic chaining where exact field extraction matter
parent_slug	string	no	Topic slug or ID. Returns the direct children of this topic. Omit for top-level roots (Politics, Business, Technology, etc.). With query, limits the search to this topic's descendants.
query	string	no	Find topics by name: exact names first, then names starting with it, then (when it has a word of 3 or more characters) names containing it, each ranked by story coverage. Covers topics with at least 5

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