{ "x402Version": 2, "id": 11792, "slug": "11792", "resource": "https://api.particle.pro/v1/podcasts/episodes/search", "description": "Search podcast episode content. To find podcasts (shows) by name or topic, use /v1/podcasts/search?q=….", "type": "http", "accepts": [ { "scheme": "exact", "network": "eip155:8453", "payTo": "0x59f3a6dcb6f482c53872dd8f8f9e1f9161a1c5f7", "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913", "amount": "30000", "maxTimeoutSeconds": 300 } ], "outputSchema": { "bazaar": { "info": { "input": { "method": "GET", "queryParams": { "language": "fr", "since": "2024-01-01", "until": "2024-06-01" }, "type": "http" } }, "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": "Optional company slug, domain, or ID. Resolves to the company's linked entity and applies as a filter.", "type": "string" }, "context": { "description": "Lines of surrounding dialogue around each matched line (1-15, default 1). Widens each match's transcript window in place — request more context instead of fetching the full transcript. Window size stays bounded even at the maximum.", "format": "int64", "type": "integer" }, "cursor": { "description": "Opaque cursor from a previous response.", "type": "string" }, "entity_id": { "description": "Optional entity slug or ID. Filters results to episodes featuring this entity. For 'every line about X', use /v1/podcasts/mentions instead.", "type": "string" }, "entity_type": { "description": "Optional entity category slug. Filters to episodes that *mention* any entity in that category (e.g. 'company', 'school', 'book'). Speakers are always people, so this filter only narrows mentioned entities. Cannot be combined with 'role'. Ignored when entity_id resolves to a specific entity. See GET /v1/entities/types for the available slugs.", "type": "string" }, "episode_id": { "description": "Filter to a specific episode by slug or ID.", "type": "string" }, "keyword_match": { "description": "How unquoted keyword_search terms are applied. 'required' (default) filters to segments containing every term, so results are guaranteed to contain what you typed — this also constrains semantic_search, making a hybrid query an intersection of the two. 'ranked' instead lets unquoted terms only boost BM25 relevance without excluding anything, which widens recall for loose bag-of-words queries but returns segments that may contain none of them. Quoted phrases are unaffected: they filter in BOTH modes, so to relax a phrase remove its quotes. Ignored when keyword_search is empty.", "enum": [ "required", "ranked" ], "type": "string" }, "keyword_search": { "description": "BM25 lexical search over dialogue. Use when an exact token must appear verbatim — tickers, drug names, product codes. By default every token must appear somewhere in the matched segment (see keyword_match). Wrap any token sequence in double quotes (e.g. \"machine learning\") to additionally require those words adjacent and in order in the segment's spoken dialogue — a speaker's own name is not indexed as dialogue, so quoting a person's name finds segments where the name appears in what was said, not segments they speak in. Adjacency spans consecutive lines, so a phrase may rarely straddle a line break. Multiple quoted phrases AND together (e.g. \"central bank\" \"interest rates\"). There is no boolean OR — a bare OR is treated as an ordinary word, so pass alternatives as separate requests.", "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" }, "limit": { "description": "Results per page (1-100, default 25).", "format": "int64", "type": "integer" }, "podcast_id": { "description": "Podcast slug, internal ID, or numeric iTunes ID.", "type": "string" }, "role": { "description": "How the entity must relate to the episode. Speaking roles: 'guest', 'host', 'panelist', 'correspondent', or 'speaker' for any of them. 'mention' means the entity is talked about rather than speaking. Omit to match both. Matches the role values on /v1/podcasts/episodes.", "enum": [ "guest", "host", "panelist", "correspondent", "speaker", "mention" ], "type": "string" }, "semantic_search": { "description": "Vector-similarity search by meaning. Express the query the way you'd describe the topic to a colleague — paraphrase tolerant, finds segments that express the same idea in different vocabulary. Combine with keyword_search for hybrid ranking. Describe a topic, not a name: to find a specific person or company, filter with entity_id / company_id (or use /v1/podcasts/mentions for every line about them) — and for an exact token like a ticker, use keyword_search.", "type": "string" }, "since": { "description": "Only segments from episodes published after this date.", "type": "string" }, "sort": { "description": "Sort order. Defaults to relevance.", "enum": [ "relevance", "recency" ], "type": "string" }, "type": { "description": "Segment type filter.", "enum": [ "INTRO", "PERSONAL_BANTER", "TOPIC_DISCUSSION", "INTERVIEW", "TRANSITION", "AD", "OUTRO" ], "type": "string" }, "until": { "description": "Only segments from episodes published on or before this date. A bare date includes that whole day.", "type": "string" } }, "type": "object" }, "type": { "const": "http", "type": "string" } }, "required": [ "type", "method" ], "type": "object" } }, "required": [ "input" ], "type": "object" } } }, "tags": [ "bazaar" ], "sourceHost": "api.particle.pro", "lastUpdated": "2026-09-14T20:09:26.959Z", "quality": { "calls30d": 15, "uniquePayers30d": 2, "lastCalledAt": "2026-09-14T20:09:26.609Z" }, "liveness": {}, "verified": false, "featured": false, "provider": { "host": "api.particle.pro", "manifest_name": "api.particle.pro", "source": "cdp-mirror", "source_manifest_url": "https://api.cdp.coinbase.com/platform/v2/x402/discovery/resources", "submitted_at": "2026-09-18T22:00:31.484Z" } }