Podcast Commerce Intelligence
Extract product mentions, sponsors, and trends from podcast transcripts.
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Что умеет
- Extract Podcast Products: Extract product and brand mentions from a podcast transcript. Returns structured data including product name, category, confidence score, recommendation strength, and sponsor
- Analyze Episode Sponsors: Identify sponsor segments in a podcast episode and estimate read-through rates. Returns sponsor list, read type (host-read, mid-roll, etc.), call-to-action, and aggregate met
- Track Product Trends: Compare product mentions across multiple podcast episodes to identify rising, stable, and falling product trends. Requires episodes to have been previously extracted (via extract
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
Extract product mentions, sponsors, and trends from podcast transcripts. Returns structured data with product names, categories, confidence scores, recommendation strength, and aesthetic tags. Tools: extract_podcast_products, analyze_episode_sponsors, track_product_trends (with avg_recommendation_strength), compare_products_across_shows, generate_show_notes_section. Free tier: 200 calls/day. $0.01/call paid.
Список инструментов сервера (5)
Технические названия из tools/list. Нужны только разработчикам.
| extract_podcast_products | Extract product and brand mentions from a podcast transcript. Returns structured data including product name, category, confidence score, recommendation strength, and sponsor segments. Supports caching by episode_id. |
| analyze_episode_sponsors | Identify sponsor segments in a podcast episode and estimate read-through rates. Returns sponsor list, read type (host-read, mid-roll, etc.), call-to-action, and aggregate metrics. Uses cached extraction if episode_id was previously processed. |
| track_product_trends | Compare product mentions across multiple podcast episodes to identify rising, stable, and falling product trends. Requires episodes to have been previously extracted (via extract_podcast_products) and cached by episode_id. |
| compare_products_across_shows | Compare and rank product mentions across multiple podcast shows using cached extractions — no re-run. Collapses a 3-call manual join into 1 tool call. Performs entity resolution to identify the same product mentioned across shows. Returns ranked cross-show product list with per-show context, average confidence, and recommendation consensus. Use for multi-show affiliate research, best-of page generation, and cross-show brand ranking. Supports physical_goods, saas, supplement, and all other categories. Requires prior extract_podcast_products calls for each show_id. |
| generate_show_notes_section | Format extracted podcast products into a shoppable show notes section. Returns a ready-to-paste markdown or HTML product list, grouped by endorsement strength (strong/moderate/mention), with affiliate links where resolved. Use after extract_podcast_products — either pass episode_id to use cached extraction, or pass products[] directly. Handles null affiliate_link gracefully (shows product name without link). Format: markdown (default) produces copy-paste text for show notes editors; html produces embeddable markup. Style: full (default) groups by endorsement with context quotes; minimal produces a compact list. |