Awesome llm resemble detect

Resemble Detect — Deepfake Detection & Media Safety

Analyze audio, image, video, and text for synthetic manipulation, AI-generated content, watermarks, speaker identity, and media intelligence using the Resemble AI platform.

Core Principle — THE IRON LAW

"NEVER DECLARE MEDIA AS REAL OR FAKE WITHOUT A COMPLETED DETECTION RESULT."

Do not guess, infer, or speculate about media authenticity. Every authenticity claim must be backed by a completed Resemble detect job with a returned label, score, and status: "completed". If the detection is still processing, wait. If it failed, say so — do not substitute your own judgment.

When to Use

Use this skill whenever the user's request involves any of these:

• Checking if audio, video, image, or text is AI-generated or manipulated
• Detecting deepfakes in any media format
• Verifying media authenticity or provenance
• Identifying which AI platform synthesized audio (source tracing)
• Applying or detecting watermarks on media
• Analyzing media for speaker info, emotion, transcription, or misinformation
• Asking natural-language questions about detection results
• Matching or verifying speaker identity against known voice profiles
• Detecting AI-generated or machine-written text
• Any mention of: "deepfake", "fake detection", "synthetic media", "voice verification", "watermark", "media forensics", "authenticity check", "source tracing", "is this real", "AI-written text", "text detection"

Do NOT use for text-to-speech generation, voice cloning, or speech-to-text transcription — those are separate Resemble capabilities.

Capability Decision Tree

User wants to...	Use this	API endpoint
Check if media is AI-generated / deepfake	Deepfake Detection	POST /detect
Know which AI platform made fake audio	Audio Source Tracing	POST /detect with flag
Get speaker info, emotion, transcription from media	Intelligence	POST /intelligence
Ask questions about a completed detection	Detect Intelligence	POST /detects/{uuid}/intelligence
Apply an invisible watermark to media	Watermark Apply	POST /watermark/apply
Check if media contains a watermark	Watermark Detect	POST /watermark/detect
Verify a speaker's identity against known profiles	Identity Search	POST /identity/search
Check if text is AI-generated	Text Detection	POST /text_detect
Create a voice identity profile for future matching	Identity Create	POST /identity

When multiple capabilities apply (e.g., user wants deepfake detection AND intelligence), combine them in a single POST /detect call using the intelligence: true flag rather than making separate requests.

Required Setup

• API Key: Bearer token from the Resemble AI dashboard
• Base URL: https://app.resemble.ai/api/v2
• Auth Header: Authorization: Bearer <RESEMBLE_API_KEY>
• Media Requirement: All media must be at a publicly accessible HTTPS URL

If the user provides a local file path instead of a URL, inform them the file must be hosted at a public HTTPS URL first. Do not attempt to upload local files to the API.

MCP Tools Available

When the Resemble MCP server is connected, use these tools instead of raw API calls:

Tool	Purpose
resemble_docs_lookup	Get comprehensive docs for any detect sub-topic
resemble_search	Search across all documentation
resemble_api_endpoint	Get exact OpenAPI spec for any endpoint
resemble_api_search	Find endpoints by keyword
resemble_get_page	Read specific documentation pages
resemble_list_topics	List all available topics

Tool usage pattern: Use resemble_docs_lookup with topic "detect" to get the full picture, then resemble_api_endpoint for exact request/response schemas before making API calls.

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Phase 1: Deepfake Detection

The core capability. Submit any audio, image, or video for AI-generated content analysis.

Submit a Detection

POST /detect
Content-Type: application/json
Authorization: Bearer <API_KEY>

{
  "url": "https://example.com/media.mp4",
  "visualize": true,
  "intelligence": true,
  "audio_source_tracing": true
}

Parameters:

| Parameter | Type | Required | Description