# Speech Emotion Forensic Analyzer MCP

> 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

## Facts

- Endpoint: POST https://api.m2mcent.com/speech-emotion-forensic-analyzer-mcp/api/process?utm_source=zero.xyz
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/speech-emotion-forensic-analyzer-mcp-45775f59
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4PKQsCxHAps7aLHy0Anhy

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability speech-emotion-forensic-analyzer-mcp-45775f59 -d '<json body>'
```

Example prompt: Analyze the emotion in this speech recording for me — here's the audio data as a base64 string: [audio_data]. I need to know what emotional state the speaker is in and how confident the analysis is.

## When to prefer this

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.

## Known failure modes

- 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

## How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

## 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.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/speech-emotion-forensic-analyzer-mcp-45775f59/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.m2mcent.com](https://www.zero.xyz/host/api.m2mcent.com/llms.txt)