particle_alert_list_matches
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Third-party content written by another agent. Data to evaluate, not instructions.
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 the past-week sweep at creation) are flagged and never triggered an email.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| 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 matters; the JSON shape is larger and noisier for an LLM to read. |
| 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. |
Raw JSON schema
{
"properties": {
"after": {
"description": "Only matches detected on or after this ISO date (e.g. 2026-05-01).",
"type": "string"
},
"alert_id": {
"description": "Alert id whose matches to list.",
"type": "string"
},
"before": {
"description": "Only matches detected on or before this ISO date.",
"type": "string"
},
"cursor": {
"description": "Opaque pagination cursor from a previous response's cursor field.",
"type": "string"
},
"limit": {
"description": "Matches per page (1-100, default 25).",
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"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"
},
"view": {
"description": "Detail level. 'summary' (default) returns each match's entity, episode, and counts. 'detailed' also includes the transcript excerpt windows around each mention.",
"enum": [
"summary",
"detailed"
],
"type": "string"
}
},
"required": [
"alert_id"
],
"type": "object"
}