# Podcast Commerce Intelligence

> Use this tool when you need to extract valuable insights from podcast transcripts, such as product mentions, sponsors, and trends, to inform marketing strategies or identify new business opportunities. It takes podcast transcripts as input and returns structured data with product information, confidence scores, and recommendation strength. Ideal for market researchers, advertisers, and podcasters seeking to monetize their content or understand audience interests.

Canonical page: https://skillsregistry.net/skills/sincetoday-podcast-commerce-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sincetoday-podcast-commerce-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/sincetoday/podcast-commerce-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sincetoday-podcast-commerce-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sincetoday-podcast-commerce-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sincetoday-podcast-commerce-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt