{"uid":"cap_SGyu6lJaQyQGTPqIhGJXe","slug":"healthcare-sentiment-indexer-mcp-52535b58","name":"Healthcare Sentiment Indexer 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/healthcare-sentiment-indexer-mcp-504/api/execute?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}},"responseSchema":{"type":"object","required":["boolean"],"properties":{"boolean":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.15","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":"$0.392708/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.392708","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.392708","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_kTjeKRvxA8a5RsbERr6wb","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.392708","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes a text string and returns a boolean sentiment classification in the healthcare domain","exampleAgentPrompt":"Can you analyze the sentiment of this patient review and tell me if it's positive or negative: 'The nursing staff was incredibly attentive but the wait times were unreasonably long and frustrating'?","exampleUseCases":[{"title":"Patient feedback sentiment triage","prompt":"I have a patient satisfaction comment that says 'The doctor explained everything clearly but the billing process was a nightmare' — can you tell me if the overall sentiment is positive or negative?"},{"title":"Clinical trial participant review classification","prompt":"Classify the sentiment of this trial participant note: 'Side effects were minimal and I felt well-supported throughout the study process.'"},{"title":"Healthcare provider rating screening","prompt":"Run a sentiment check on this online review of our clinic: 'Appointments were always on time and staff were professional, but the facility felt outdated and unwelcoming.'"}],"resultDescription":"Returns a JSON object containing a single boolean field indicating whether the sentiment of the input healthcare text is positive (true) or negative (false).","failureModes":["Missing required 'text' field returns a validation error","Empty string input may return unpredictable boolean result","Very long text strings may exceed input limits and fail","Non-healthcare or ambiguous text may yield unreliable boolean classification","Payment failure via x402 protocol prevents execution"],"whenToPreferThis":"Choose this endpoint when you need a fast, binary (positive/negative) sentiment classification specifically tuned for healthcare text such as patient reviews, clinical notes, or medical feedback. Best suited for high-volume triage pipelines where a simple boolean output is sufficient and nuanced multi-class sentiment scores are not required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:54:59.935Z","isFirstParty":false,"canonicalSlug":"healthcare-sentiment-indexer-mcp-52535b58"}