# FFT Vibration Analysis MCP

> FFT Vibration Analysis MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.12/call, status unknown (last checked 2026-09-15).

Performs Fast Fourier Transform (FFT) analysis on vibration signal data to extract frequency-domain characteristics and identify anomalies.

## Facts

- Endpoint: POST https://api.m2mcent.com/fft-vibration-analysis-mcp/api/process
- Price: $0.12/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/fft-vibration-analysis-mcp-f57cc50f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7_nrD6zsjL0RGQ9bd3iYz

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 fft-vibration-analysis-mcp-f57cc50f -d '<json body>'
```

Example prompt: Run an FFT analysis on this vibration sensor data from our pump motor and tell me the dominant frequencies and any anomalies: [base64-encoded or raw time-series data string].

## When to prefer this

Choose this endpoint when you need server-side FFT computation on vibration or accelerometer data without running signal processing libraries locally. Ideal for IoT agents performing predictive maintenance, industrial monitoring workflows, or when integrating frequency analysis into an automated pipeline without dedicated DSP infrastructure.

## Known failure modes

- Invalid or malformed data string input returns an error
- Data too short or insufficient sample rate for meaningful FFT output
- Non-numeric or corrupt sensor data causes processing failure
- Empty data field results in validation error
- Extremely large data payloads may cause timeout or rejection

## 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 frequency-domain analysis results from the FFT computation, including dominant frequencies, amplitude spectrum, harmonic components, and potentially anomaly flags derived from the input vibration signal data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "payload": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/fft-vibration-analysis-mcp-f57cc50f/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)