Particle Pro
Search podcasts. Searches the podcast catalog by show name — the canonical podcast search.
Offering
- Provider
- api.particle.pro
- Method
- GET
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- Web Search Research
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://api.particle.pro/v1/podcasts/search- MIME type
- application/json
- First seen
- 2026-10-16T01:53:06.460Z
- Last seen
- Tags
- 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
- 74 ms
- Average latency
- 325 ms
- HTTP status
- 402
- Last checked
- Reachability
- 100% over 14 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": {
"cursor": {
"description": "Opaque pagination cursor from previous response",
"type": "string"
},
"format_signal": {
"description": "Filter by detected production format. Pass a comma-separated list to match any of several formats — e.g. panel,call_in. Values mirror the format.signals field on podcast responses; a show can carry several signals.",
"items": {
"type": "string"
},
"type": "array"
},
"guest_field": {
"description": "Only shows whose analyzed guests include someone listed under this ANZSRC 2020 field of research (code, slug, or title).",
"type": "string"
},
"guest_frequency": {
"description": "Filter by how often episodes feature a guest. Pass a comma-separated list to match any of several buckets — e.g. regular,always for interview-driven shows, or never for shows that don't host guests. Only matches podcasts with enough analyzed episodes to judge; values mirror the format.guest_frequency field on podcast responses.",
"items": {
"type": "string"
},
"type": "array"
},
"guest_occupation": {
"description": "Only shows whose analyzed guests include someone 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 that names a field of research, such as oncologists, filters by the field; one that names a capacity, such as founders, is rejected.",
"type": "string"
},
"has_ads": {
"description": "Filter by advertiser presence. Pass false to find ad-free shows — an assertion that requires the show to have enough analyzed episodes, so sparsely-analyzed podcasts are excluded rather than presumed ad-free.",
"enum": [
"true",
"false"
],
"type": "string"
},
"has_video": {
"description": "Filter by whether episodes have discovered video versions (e.g. YouTube releases).",
"enum": [
"true",
"false"
],
"type": "string"
},
"language": {
"description": "Filter by the podcast's language (ISO 639-1 code, e.g. 'en', 'fr'). Matches the primary language subtag, so 'fr' covers 'fr-FR'.",
"type": "string"
},
"limit": {
"description": "Results per page",
"format": "int64",
"type": "integer"
},
"max_avg_episode_minutes": {
"description": "Only podcasts whose average episode runs at most this many minutes.",
"format": "int64",
"type": "integer"
},
"max_episodes_per_week": {
"description": "Only podcasts publishing at most this many episodes per week on average (e.g. 0.5 for fortnightly-or-slower shows).",
"format": "double",
"type": "number"
},
"max_promotional_guest_share": {
"description": "Only shows where at most this share of analyzed guest appearances were mainly promotional (0-1); 0 keeps only shows with none.",
"type": "number"
},
"min_analyzed_guest_appearances": {
"description": "Only shows with at least this many guest appearances analyzed for expertise. Raise it to steady the share filters below on shows with few analyzed guests.",
"format": "int64",
"type": "integer"
},
"min_avg_episode_minutes": {
"description": "Only podcasts whose average episode runs at least this many minutes. Combine with max_avg_episode_minutes to target a length band (e.g. 20–40 minute commute shows).",
"format": "int64",
"type": "integer"
},
"min_episodes_per_week": {
"description": "Only podcasts publishing at least this many episodes per week on average (e.g. 5 for weekday dailies). Cadence is measured over the trailing 90 days; podcasts tracked too briefly to measure are excluded.",
"format": "double",
"type": "number"
},
"min_established_guest_share": {
"description": "Only shows where at least this share of analyzed guest appearances are by guests whose standing others conferred (0-1; 0 sets no bound).",
"format": "double",
"type": "number"
},
"min_in_field_guest_share": {
"description": "Only shows where at least this share of analyzed guest appearances stayed within the guest's field (0-1; 0 sets no bound).",
"format": "double",
"type": "number"
},
"popularity_threshold": {
"description": "Restrict results to podcasts whose global popularity percentile is at least this value (accepted range [0,1]). Omitting the parameter or passing 0 disables the filter; only a value greater than 0 activates it. Popularity is always global — a cume_dist ranking over all currently-charting podcasts (Apple Podcasts) — never scoped to topic_id or any other filter. When the filter is active (threshold > 0), podcasts not currently charting have no percentile and are excluded, so a high threshold combined with a narrow topic_id may return zero results; lower or remove the threshold to widen the set.",
"format": "double",
"type": "number"
},
"publishing_status": {
"description": "Filter by publishing activity: active shows have released an episode within the last 90 days; dormant shows have not.",
"enum": [
"active",
"dormant"
],
"type": "string"
},
"q": {
"description": "Search the catalog by podcast name. GET /v1/podcasts/search is the canonical search endpoint and accepts the same parameters. The search is forgiving: it handles typos, missing or extra words ('offline jon favreau' finds Offline with Jon Favreau), a name plus qualifiers ('equity techcrunch'), and pasted episode titles ('Ferrari | Acquired' finds Acquired). The best matches come first, and each result's match_quality tells you how confident the match is — including when a show matched only through its description (match_quality=description) rather than its name.",
"type": "string"
},
"slug": {
"description": "Filter by exact podcast slug (e.g., 'all-in'). Slugs are stable, human-readable identifiers returned on every podcast object.",
"type": "string"
},
"sort": {
"description": "Result ordering. relevance — the default whenever q is present — ranks by how well each podcast matches the query, breaking ties by popularity. popularity orders purely by the global popularity percentile (most popular first; podcasts not currently charting sort last), and also overrides topic_id's concentration ordering. Without q or topic_id, results are popularity-ordered either way.",
"enum": [
"relevance",
"popularity"
],
"type": "string"
},
"suitability_tier": {
"description": "Filter by brand-suitability tier (IAB Tech Lab Brand Safety & Suitability Framework, formerly GARM). Only returns podcasts whose most recent suitability analysis assigned this tier. Podcasts without a suitability analysis are excluded when this filter is set.",
"enum": [
"SAFE",
"LIMITED",
"SENSITIVE",
"UNSAFE"
],
"type": "string"
},
"topic_id": {
"description": "Filter by topic ID, ancestry slug (e.g., technology/artificial-intelligence), or ancestry path hash. Matches podcasts where the topic accounts for at least 20% of the show's episodes, ranked by topic concentration — not merely podcasts that mention it once.",
"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": {
"cursor": {
"description": "Opaque pagination cursor from previous response",
"type": "string"
},
"format_signal": {
"description": "Filter by detected production format. Pass a comma-separated list to match any of several formats — e.g. panel,call_in. Values mirror the format.signals field on podcast responses; a show can carry several signals.",
"items": {
"type": "string"
},
"type": "array"
},
"guest_field": {
"description": "Only shows whose analyzed guests include someone listed under this ANZSRC 2020 field of research (code, slug, or title).",
"type": "string"
},
"guest_frequency": {
"description": "Filter by how often episodes feature a guest. Pass a comma-separated list to match any of several buckets — e.g. regular,always for interview-driven shows, or never for shows that don't host guests. Only matches podcasts with enough analyzed episodes to judge; values mirror the format.guest_frequency field on podcast responses.",
"items": {
"type": "string"
},
"type": "array"
},
"guest_occupation": {
"description": "Only shows whose analyzed guests include someone 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 that names a field of research, such as oncologists, filters by the field; one that names a capacity, such as founders, is rejected.",
"type": "string"
},
"has_ads": {
"description": "Filter by advertiser presence. Pass false to find ad-free shows — an assertion that requires the show to have enough analyzed episodes, so sparsely-analyzed podcasts are excluded rather than presumed ad-free.",
"enum": [
"true",
"false"
],
"type": "string"
},
"has_video": {
"description": "Filter by whether episodes have discovered video versions (e.g. YouTube releases).",
"enum": [
"true",
"false"
],
"type": "string"
},
"language": {
"description": "Filter by the podcast's language (ISO 639-1 code, e.g. 'en', 'fr'). Matches the primary language subtag, so 'fr' covers 'fr-FR'.",
"type": "string"
},
"limit": {
"description": "Results per page",
"format": "int64",
"type": "integer"
},
"max_avg_episode_minutes": {
"description": "Only podcasts whose average episode runs at most this many minutes.",
"format": "int64",
"type": "integer"
},
"max_episodes_per_week": {
"description": "Only podcasts publishing at most this many episodes per week on average (e.g. 0.5 for fortnightly-or-slower shows).",
"format": "double",
"type": "number"
},
"max_promotional_guest_share": {
"description": "Only shows where at most this share of analyzed guest appearances were mainly promotional (0-1); 0 keeps only shows with none.",
"type": "number"
},
"min_analyzed_guest_appearances": {
"description": "Only shows with at least this many guest appearances analyzed for expertise. Raise it to steady the share filters below on shows with few analyzed guests.",
"format": "int64",
"type": "integer"
},
"min_avg_episode_minutes": {
"description": "Only podcasts whose average episode runs at least this many minutes. Combine with max_avg_episode_minutes to target a length band (e.g. 20–40 minute commute shows).",
"format": "int64",
"type": "integer"
},
"min_episodes_per_week": {
"description": "Only podcasts publishing at least this many episodes per week on average (e.g. 5 for weekday dailies). Cadence is measured over the trailing 90 days; podcasts tracked too briefly to measure are excluded.",
"format": "double",
"type": "number"
},
"min_established_guest_share": {
"description": "Only shows where at least this share of analyzed guest appearances are by guests whose standing others conferred (0-1; 0 sets no bound).",
"format": "double",
"type": "number"
},
"min_in_field_guest_share": {
"description": "Only shows where at least this share of analyzed guest appearances stayed within the guest's field (0-1; 0 sets no bound).",
"format": "double",
"type": "number"
},
"popularity_threshold": {
"description": "Restrict results to podcasts whose global popularity percentile is at least this value (accepted range [0,1]). Omitting the parameter or passing 0 disables the filter; only a value greater than 0 activates it. Popularity is always global — a cume_dist ranking over all currently-charting podcasts (Apple Podcasts) — never scoped to topic_id or any other filter. When the filter is active (threshold > 0), podcasts not currently charting have no percentile and are excluded, so a high threshold combined with a narrow topic_id may return zero results; lower or remove the threshold to widen the set.",
"format": "double",
"type": "number"
},
"publishing_status": {
"description": "Filter by publishing activity: active shows have released an episode within the last 90 days; dormant shows have not.",
"enum": [
"active",
"dormant"
],
"type": "string"
},
"q": {
"description": "Search the catalog by podcast name. GET /v1/podcasts/search is the canonical search endpoint and accepts the same parameters. The search is forgiving: it handles typos, missing or extra words ('offline jon favreau' finds Offline with Jon Favreau), a name plus qualifiers ('equity techcrunch'), and pasted episode titles ('Ferrari | Acquired' finds Acquired). The best matches come first, and each result's match_quality tells you how confident the match is — including when a show matched only through its description (match_quality=description) rather than its name.",
"type": "string"
},
"slug": {
"description": "Filter by exact podcast slug (e.g., 'all-in'). Slugs are stable, human-readable identifiers returned on every podcast object.",
"type": "string"
},
"sort": {
"description": "Result ordering. relevance — the default whenever q is present — ranks by how well each podcast matches the query, breaking ties by popularity. popularity orders purely by the global popularity percentile (most popular first; podcasts not currently charting sort last), and also overrides topic_id's concentration ordering. Without q or topic_id, results are popularity-ordered either way.",
"enum": [
"relevance",
"popularity"
],
"type": "string"
},
"suitability_tier": {
"description": "Filter by brand-suitability tier (IAB Tech Lab Brand Safety & Suitability Framework, formerly GARM). Only returns podcasts whose most recent suitability analysis assigned this tier. Podcasts without a suitability analysis are excluded when this filter is set.",
"enum": [
"SAFE",
"LIMITED",
"SENSITIVE",
"UNSAFE"
],
"type": "string"
},
"topic_id": {
"description": "Filter by topic ID, ancestry slug (e.g., technology/artificial-intelligence), or ancestry path hash. Matches podcasts where the topic accounts for at least 20% of the show's episodes, ranked by topic concentration — not merely podcasts that mention it once.",
"type": "string"
}
},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}