# Audioscrape Audio Intelligence

> Use this tool when you need to uncover insights from large volumes of audio content, such as podcasts, interviews, and talks, and solve problems like information discovery and research. Audioscrape provides semantic search, trending topic extraction, and knowledge graph search, taking in keywords, topics, or speaker names as input and outputting timestamped transcriptions and curated clips. Use it to analyze audio data in real-time, extracting valuable information and context from vast audio libraries.

Canonical page: https://skillsregistry.net/skills/audio-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/audio-intelligence

## Description

The audio intelligence layer for AI assistants. Audioscrape provides semantic search across over one million hours of podcast content, interviews, and talks. Search by speaker, topic, or keyword to find specific moments within audio with timestamped transcriptions. Features include trending topic extraction, knowledge graph search, real-time audio monitoring, and curated clips from podcast communities.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/audio-intelligence)

## 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": "audio-intelligence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/audio-intelligence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/audio-intelligence/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