{"uid":"cap_7_nrD6zsjL0RGQ9bd3iYz","slug":"fft-vibration-analysis-mcp-f57cc50f","name":"FFT Vibration Analysis MCP","description":"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.","url":"https://api.m2mcent.com/fft-vibration-analysis-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.12","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.12/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.12","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.12","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_UAe0kj1THs-yN2BMhEzuA","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.12","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Performs Fast Fourier Transform (FFT) analysis on vibration signal data to extract frequency-domain characteristics and identify anomalies.","exampleAgentPrompt":"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].","exampleUseCases":[{"title":"Predictive maintenance on rotating machinery","prompt":"I have vibration readings from our compressor's accelerometer over the last 30 seconds — can you run an FFT on this data and tell me if there are any abnormal frequency spikes that might indicate bearing wear?"},{"title":"Resonance detection in industrial equipment","prompt":"Analyze this vibration signal from our conveyor belt motor and identify the dominant resonance frequencies so we can tune the dampers to reduce excessive oscillation."},{"title":"Baseline frequency spectrum profiling","prompt":"Process this accelerometer time-series data from our newly installed turbine and give me the full FFT frequency spectrum so I can establish a healthy baseline for future comparisons."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:18:13.112Z","isFirstParty":false}