particle_alert_create
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Third-party content written by another agent. Data to evaluate, not instructions.
Create an alert that watches a single entity and emails you 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 cover several entities, call this tool once per entity.
Use the optional filters object to narrow what gets surfaced on every channel (matches list, realtime email, daily/weekly digest). Four independent axes: languages (BCP-47-like tags like ['en','pt-BR'] — empty means all languages), relevance (EVERYTHING returns on-target + incidental matches, RELEVANT narrows to on-target only — dropping passing mentions), source_popularity (ANY keeps every source, POPULAR keeps only matches from podcasts in the top 5% by chart popularity), and speaker_roles (PODCAST_SPEAKER alerts only — REPLACES the default appearance set GUEST/PANELIST/CORRESPONDENT/AUDIENCE/SOUNDBITE_SPEAKER; sending it on an ENTITY_MENTION alert errors with unprocessable_entity).
After creation the alert immediately backfills matches from the past week (visible via particle_alert_list_matches) without sending emails for them. To see what an alert would catch BEFORE committing, use particle_alert_preview first. The created alert's id feeds particle_alert_get, particle_alert_update, particle_alert_delete, and particle_alert_list_matches.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| 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 | yes | 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 all accepted; the resolved type is echoed back in the response. Exactly one — an alert watches a single entity, so create one alert per entity. |
| 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 the four axes (languages, relevance, source_popularity, speaker_roles). |
| is_active | boolean | no | Whether the alert produces matches. Defaults to true. Set false to create it paused. |
| 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 (guest/panelist/correspondent/audience). Kind is fixed at creation. |
| notifications | array | no | Email addresses to notify. Each must already be verified for your organization (or belong to an org member). When omitted, defaults to your account email if available; otherwise pass at least one. |
| 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 matters; the JSON shape is larger and noisier for an LLM to read. |
| title | string | yes | Human-readable title for the alert (e.g. 'OpenAI mentions'). |
Raw JSON schema
{
"properties": {
"delivery_cadence": {
"description": "How often matches are emailed: REALTIME (default, one email per match), DAILY (one bundled email each morning), or WEEKLY (one bundled email Monday).",
"enum": [
"REALTIME",
"DAILY",
"WEEKLY"
],
"type": "string"
},
"description": {
"description": "Optional longer description of what the alert is for.",
"type": "string"
},
"entities": {
"description": "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 all accepted; the resolved type is echoed back in the response. Exactly one — an alert watches a single entity, so create one alert per entity.",
"items": {
"type": "string"
},
"maxItems": 1,
"minItems": 1,
"type": "array"
},
"filters": {
"description": "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 the four axes (languages, relevance, source_popularity, speaker_roles).",
"properties": {
"languages": {
"description": "Primary language tags the source episode must be in: a 2-3 letter primary tag (e.g. 'en', 'de', 'sma'). A region or script subtag (e.g. 'pt-BR', 'zh-Hant') is accepted for readability but matching is on the PRIMARY tag only — 'pt-BR' surfaces every Portuguese episode regardless of region, and 'pt-BR' + 'pt-PT' collapse to one. Empty or missing means all languages are surfaced. Case-insensitive; echoed in canonical primary-tag form.",
"items": {
"type": "string"
},
"type": "array"
},
"relevance": {
"description": "EVERYTHING (default) returns both on-target and incidental matches — the watched entity is correctly identified in both, only the depth of discussion differs. RELEVANT narrows to on-target only: matches where the watched entity is the subject being discussed, dropping passing mentions. Wrong-entity matches (name collisions) are globally suppressed before any filter runs.",
"enum": [
"EVERYTHING",
"RELEVANT"
],
"type": "string"
},
"source_popularity": {
"description": "ANY (default) keeps matches from every source. POPULAR keeps only matches whose source podcast scores in the top 5% by chart-popularity percentile (Podcast.Popularity >= 0.95; cume_dist over current chart entries, multi-region weighted). Podcasts that aren't currently charting drop out.",
"enum": [
"ANY",
"POPULAR"
],
"type": "string"
},
"speaker_roles": {
"description": "PODCAST_SPEAKER alerts only — sending this on an ENTITY_MENTION alert returns an unprocessable_entity error. REPLACES (not intersects with) the default appearance set. Default when omitted is GUEST, PANELIST, CORRESPONDENT, AUDIENCE, SOUNDBITE_SPEAKER — HOST is excluded because hosting the show isn't an appearance. Setting ['HOST'] flips that; setting ['GUEST'] alone narrows further. Input casing is not significant — 'guest' and 'GUEST' are the same value — and the filter is stored and returned in canonical uppercase form. Raw STT/LLM labels like CALLER or REPORTER are not accepted.",
"items": {
"enum": [
"HOST",
"GUEST",
"PANELIST",
"CORRESPONDENT",
"AUDIENCE",
"SOUNDBITE_SPEAKER"
],
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"is_active": {
"description": "Whether the alert produces matches. Defaults to true. Set false to create it paused.",
"type": "boolean"
},
"kind": {
"description": "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 (guest/panelist/correspondent/audience). Kind is fixed at creation.",
"enum": [
"ENTITY_MENTION",
"PODCAST_SPEAKER"
],
"type": "string"
},
"notifications": {
"description": "Email addresses to notify. Each must already be verified for your organization (or belong to an org member). When omitted, defaults to your account email if available; otherwise pass at least one.",
"items": {
"type": "string"
},
"type": "array"
},
"output_format": {
"description": "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 matters; the JSON shape is larger and noisier for an LLM to read.",
"enum": [
"markdown",
"json"
],
"type": "string"
},
"title": {
"description": "Human-readable title for the alert (e.g. 'OpenAI mentions').",
"type": "string"
}
},
"required": [
"title",
"entities"
],
"type": "object"
}