# Contendeo

> Use this tool when you need to analyze video content beyond transcripts, solving problems such as extracting insights from multimedia data and improving AI understanding of visual context. Contendeo provides inputs including video URLs from various platforms and outputs detailed analysis combining transcription, vision, and OCR. It is ideal for use cases requiring in-depth video analysis, such as content moderation, sentiment analysis, and information extraction.

Canonical page: https://skillsregistry.net/skills/contendeo  
JSON: https://api.skillsregistry.net/v1/skills/contendeo

## Description

Contendeo gives AI agents the ability to analyze video content beyond transcripts. It provides four tools: quick transcription with speaker identification, deep analysis combining transcription with keyframe vision and OCR, clip-level context for specific timestamp ranges, and batch analysis across multiple videos. Supports YouTube, Vimeo, Instagram, TikTok, Twitter/X, and direct URLs. Authentication uses OAuth2; free tier includes 10 credits.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/contendeo)
- **Repository:** <https://github.com/0xkaroshi/contendeo-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": "contendeo"
    }
  }
}
```

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