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Speech Emotion Forensic Analyzer MCP
x402
Speech Emotion Forensic Analyzer MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-20).
Analyzes audio speech data to detect and classify emotional states using forensic-grade techniques
Price / call$0.25
Success—
StatusUnknown
How this service works
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Output
Returns a forensic emotional analysis of the submitted speech audio, including detected emotion category (e.g. anger, fear, sadness, joy, neutral), confidence scores, and potentially additional forensic indicators such as stress levels or voice tension metrics.
Example use cases
Customer call emotional state detection
“I have a base64-encoded recording of a customer support call — can you run a forensic emotion analysis on this audio data and tell me if the customer sounds angry, distressed, or calm?”
Forensic voice stress analysis
“I need you to analyze this speech audio sample for signs of emotional stress or deception — pass this audio data through the speech emotion forensic analyzer and give me the results.”
Mental health session tone monitoring
“Can you analyze this therapy session audio clip and identify the emotional states present in the speaker's voice? Here's the audio encoded as a string.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/speech-emotion-forensic-analyzer-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need forensic-grade emotional analysis of speech audio rather than simple sentiment analysis of text. It is suited for security, compliance, HR, mental health, or customer experience applications where understanding a speaker's emotional state from their voice is critical and text-based sentiment analysis is insufficient.
Side effects
- Invalid or malformed audio data string returns a parsing error
- Audio too short or too noisy for reliable emotion detection
- Unsupported audio encoding format results in processing failure
- Empty data field causes a validation error
- Non-speech audio (music, silence) may return low-confidence or undefined emotion
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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