{"uid":"cap_4PKQsCxHAps7aLHy0Anhy","slug":"speech-emotion-forensic-analyzer-mcp-45775f59","name":"Speech Emotion Forensic Analyzer 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/speech-emotion-forensic-analyzer-mcp/api/process?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.25","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":"$0.25/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.25","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_XRFc289a5-eznhHn_o8du","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.25","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes audio speech data to detect and classify emotional states using forensic-grade techniques","exampleAgentPrompt":"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.","exampleUseCases":[{"title":"Customer call emotional state detection","prompt":"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?"},{"title":"Forensic voice stress analysis","prompt":"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."},{"title":"Mental health session tone monitoring","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T06:54:32.144Z","isFirstParty":false,"canonicalSlug":"speech-emotion-forensic-analyzer-mcp-45775f59"}