Particle Pro
Get episode timeseries. Returns time-bucketed counts of episodes matching the same filters as GET /v1/podcasts/episodes, plus range totals.
Offering
- Provider
- api.particle.pro
- Method
- GET
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- Api
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://api.particle.pro/v1/podcasts/episodes/timeseries- MIME type
- application/json
- First seen
- 2026-10-16T03:04:46.000Z
- Last seen
- Tags
- podcast episodes, podcasts, media intelligence, particle pro
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.01 USDC
Atomic price: 10000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Raw x402 terms
[
{
"scheme": "exact",
"network": "eip155:8453",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "10000",
"payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7"
}
]Observed health
- Status
- Healthy
- Latest latency
- 84 ms
- Average latency
- 171 ms
- HTTP status
- 402
- Last checked
- Reachability
- 100% over 13 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"company_id": {
"description": "Company slug (e.g., 'nvidia'), domain (e.g., 'nvidia.com'), or ID. Resolves to the company's linked entity.",
"type": "string"
},
"entity_id": {
"description": "Entity or person slug (e.g., 'elon-musk', 'openai') or ID. Counts episodes featuring this entity as a speaker or mentioned entity. A person with no linked entity counts the episodes they speak in. A slug that names both an entity and a person means the entity; pass the person's ID to count the person.",
"type": "string"
},
"fully_ingested": {
"description": "Only count episodes that have reached the terminal ingestion milestone",
"type": "boolean"
},
"guest_capacity": {
"description": "Only episodes with a guest who knows their field in this capacity, such as executive_founder for founders. It narrows the other filters; an everyday word for a capacity passed as guest_occupation (founders, politicians) lands here too.",
"enum": [
"researcher",
"licensed_professional",
"practitioner",
"executive_founder",
"public_official",
"journalist_analyst",
"creator_entertainer",
"athlete_coach",
"clergy",
"firsthand",
"layperson"
],
"type": "string"
},
"guest_field": {
"description": "Only episodes with a guest listed under this ANZSRC 2020 field of research (code, slug, or title).",
"type": "string"
},
"guest_in_field": {
"description": "Only episodes with a guest speaking within their field (the guest the other guest_ filters select, when given).",
"type": "boolean"
},
"guest_occupation": {
"description": "Only episodes with a guest listed under this SOC 2018 or ISCO-08 occupation (code, slug, or title), including a SOC group or everyday name such as physicians or doctors. A word with no occupation filters by the field of research or capacity it names: oncologists is field 3211, founders is guest_capacity=executive_founder.",
"type": "string"
},
"guest_practicing": {
"description": "Only episodes with a guest who still works in guest_occupation, a SOC 2018 occupation or group.",
"type": "boolean"
},
"guest_seniority": {
"description": "Only episodes with a guest at this seniority or above.",
"enum": [
"professional",
"senior",
"distinguished"
],
"type": "string"
},
"guest_standing": {
"description": "Only episodes with a guest whose standing is recognized this way.",
"enum": [
"established",
"self_described",
"unverified"
],
"type": "string"
},
"has_transcript": {
"description": "Only count episodes with completed transcripts",
"type": "boolean"
},
"interval": {
"description": "Bucket width. Weeks start on Monday and all buckets are UTC-aligned.",
"enum": [
"day",
"week",
"month"
],
"type": "string"
},
"keyword_search": {
"description": "Keyword filter over episode transcript content. Double-quoted substrings must appear as exact phrases; unquoted terms must all appear in a transcript segment. Counts episodes with at least one matching segment and adds mention_count fields to the response. Combines with the other filters, but not with semantic_search.",
"type": "string"
},
"language": {
"description": "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'.",
"type": "string"
},
"max_duration": {
"description": "Maximum episode duration in seconds",
"format": "int64",
"type": "integer"
},
"min_duration": {
"description": "Minimum episode duration in seconds",
"format": "int64",
"type": "integer"
},
"person_id": {
"description": "Person slug (e.g., 'dick-costolo'), knowledge-graph entity slug for the same person, or ID. Counts episodes featuring this person as a speaker. Works even when the speaker has no knowledge-graph entity linked. When the value itself matches a knowledge-graph entity slug (corroborated to the same person), the default and 'mention' roles also count episodes that merely mention the person, matching entity_id semantics; pass a speaker role (guest, host, panelist, correspondent) for speaker-only counts.",
"type": "string"
},
"podcast_id": {
"description": "Podcast slug (e.g., 'all-in'), internal ID, or numeric iTunes ID",
"type": "string"
},
"published_after": {
"description": "Deprecated alias of since.",
"type": "string"
},
"published_before": {
"description": "Deprecated alias of until.",
"type": "string"
},
"role": {
"description": "Entity role filter. Constrains which episodes match the entity_id, person_id, or company_id. 'speaker' matches any speaking role (host, co-host, guest, panelist, correspondent) without including mention-only episodes.",
"enum": [
"guest",
"host",
"panelist",
"correspondent",
"speaker",
"mention"
],
"type": "string"
},
"semantic_search": {
"description": "Vector-similarity filter by meaning over episode transcript content — the counting twin of the search endpoint's semantic_search, using the same similarity threshold. Express the query the way you'd describe the topic to a colleague; paraphrase tolerant. Counts episodes with at least one semantically matching segment and adds mention_count fields to the response; for pathologically broad queries the mention counts can be lower bounds. Requires since (ranges up to ~2 years). Combines with the other filters, but not with keyword_search.",
"type": "string"
},
"since": {
"description": "Inclusive start of the range as an ISO 8601 date or date-time. Omit for all time.",
"type": "string"
},
"until": {
"description": "End of the range as an ISO 8601 date or date-time. A bare date includes that whole day. Defaults to now.",
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
}Output schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"company_id": {
"description": "Company slug (e.g., 'nvidia'), domain (e.g., 'nvidia.com'), or ID. Resolves to the company's linked entity.",
"type": "string"
},
"entity_id": {
"description": "Entity or person slug (e.g., 'elon-musk', 'openai') or ID. Counts episodes featuring this entity as a speaker or mentioned entity. A person with no linked entity counts the episodes they speak in. A slug that names both an entity and a person means the entity; pass the person's ID to count the person.",
"type": "string"
},
"fully_ingested": {
"description": "Only count episodes that have reached the terminal ingestion milestone",
"type": "boolean"
},
"guest_capacity": {
"description": "Only episodes with a guest who knows their field in this capacity, such as executive_founder for founders. It narrows the other filters; an everyday word for a capacity passed as guest_occupation (founders, politicians) lands here too.",
"enum": [
"researcher",
"licensed_professional",
"practitioner",
"executive_founder",
"public_official",
"journalist_analyst",
"creator_entertainer",
"athlete_coach",
"clergy",
"firsthand",
"layperson"
],
"type": "string"
},
"guest_field": {
"description": "Only episodes with a guest listed under this ANZSRC 2020 field of research (code, slug, or title).",
"type": "string"
},
"guest_in_field": {
"description": "Only episodes with a guest speaking within their field (the guest the other guest_ filters select, when given).",
"type": "boolean"
},
"guest_occupation": {
"description": "Only episodes with a guest listed under this SOC 2018 or ISCO-08 occupation (code, slug, or title), including a SOC group or everyday name such as physicians or doctors. A word with no occupation filters by the field of research or capacity it names: oncologists is field 3211, founders is guest_capacity=executive_founder.",
"type": "string"
},
"guest_practicing": {
"description": "Only episodes with a guest who still works in guest_occupation, a SOC 2018 occupation or group.",
"type": "boolean"
},
"guest_seniority": {
"description": "Only episodes with a guest at this seniority or above.",
"enum": [
"professional",
"senior",
"distinguished"
],
"type": "string"
},
"guest_standing": {
"description": "Only episodes with a guest whose standing is recognized this way.",
"enum": [
"established",
"self_described",
"unverified"
],
"type": "string"
},
"has_transcript": {
"description": "Only count episodes with completed transcripts",
"type": "boolean"
},
"interval": {
"description": "Bucket width. Weeks start on Monday and all buckets are UTC-aligned.",
"enum": [
"day",
"week",
"month"
],
"type": "string"
},
"keyword_search": {
"description": "Keyword filter over episode transcript content. Double-quoted substrings must appear as exact phrases; unquoted terms must all appear in a transcript segment. Counts episodes with at least one matching segment and adds mention_count fields to the response. Combines with the other filters, but not with semantic_search.",
"type": "string"
},
"language": {
"description": "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'.",
"type": "string"
},
"max_duration": {
"description": "Maximum episode duration in seconds",
"format": "int64",
"type": "integer"
},
"min_duration": {
"description": "Minimum episode duration in seconds",
"format": "int64",
"type": "integer"
},
"person_id": {
"description": "Person slug (e.g., 'dick-costolo'), knowledge-graph entity slug for the same person, or ID. Counts episodes featuring this person as a speaker. Works even when the speaker has no knowledge-graph entity linked. When the value itself matches a knowledge-graph entity slug (corroborated to the same person), the default and 'mention' roles also count episodes that merely mention the person, matching entity_id semantics; pass a speaker role (guest, host, panelist, correspondent) for speaker-only counts.",
"type": "string"
},
"podcast_id": {
"description": "Podcast slug (e.g., 'all-in'), internal ID, or numeric iTunes ID",
"type": "string"
},
"published_after": {
"description": "Deprecated alias of since.",
"type": "string"
},
"published_before": {
"description": "Deprecated alias of until.",
"type": "string"
},
"role": {
"description": "Entity role filter. Constrains which episodes match the entity_id, person_id, or company_id. 'speaker' matches any speaking role (host, co-host, guest, panelist, correspondent) without including mention-only episodes.",
"enum": [
"guest",
"host",
"panelist",
"correspondent",
"speaker",
"mention"
],
"type": "string"
},
"semantic_search": {
"description": "Vector-similarity filter by meaning over episode transcript content — the counting twin of the search endpoint's semantic_search, using the same similarity threshold. Express the query the way you'd describe the topic to a colleague; paraphrase tolerant. Counts episodes with at least one semantically matching segment and adds mention_count fields to the response; for pathologically broad queries the mention counts can be lower bounds. Requires since (ranges up to ~2 years). Combines with the other filters, but not with keyword_search.",
"type": "string"
},
"since": {
"description": "Inclusive start of the range as an ISO 8601 date or date-time. Omit for all time.",
"type": "string"
},
"until": {
"description": "End of the range as an ISO 8601 date or date-time. A bare date includes that whole day. Defaults to now.",
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}