{"uid":"cap_4ycM6v4LbA2drn3NZ75Kq","slug":"agentutility-patient-feedback-sentiment-analyzer-91cfc264","name":"AgentUtility Patient Feedback Sentiment Analyzer","description":"Paid x402 endpoints organized into product clusters. USDC-settled on Base. MCP-callable. ERC-8004 identity registry agentId 47167.","url":"https://x402.agentutility.ai/patient-feedback-sentiment","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"required":["text"],"properties":{"text":{"type":"string","description":"Text to analyze. Max 12,000 chars."},"aspects":{"type":"array","description":"Optional. Up to 15 aspect names (e.g. 'food', 'service') to score individually alongside overall sentiment."}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"confidence":{"type":"number"},"overall_score":{"type":"number"},"overall_sentiment":{"type":"string"}}}}}}},"responseSchema":{"type":"json","example":{"confidence":0.82,"overall_score":-0.12,"overall_sentiment":"mixed"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_jnTPC4G1uoh8qSRN5JJO1","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes patient feedback text to produce an overall sentiment score, sentiment label, and confidence level","exampleAgentPrompt":"Analyze the sentiment of this patient feedback and tell me the overall sentiment, score, and how confident you are: 'The nursing staff was attentive and kind, but the wait times were frustratingly long and nobody explained the billing process.'","exampleUseCases":null,"resultDescription":"Returns a JSON object with: overall_sentiment (e.g. 'mixed', 'positive', 'negative'), overall_score (float from roughly -1.0 to 1.0 indicating sentiment polarity), and confidence (float 0–1 indicating model certainty in the classification).","failureModes":["Empty or missing feedback text returns a validation error","Extremely short or ambiguous input may yield low confidence scores","Non-English text may produce inaccurate sentiment classification","Payment failure via x402 returns 402 with payment details required"],"whenToPreferThis":"Use this endpoint when you need sentiment analysis specifically tuned or labeled for patient/healthcare feedback contexts, and you want a structured score plus confidence alongside a categorical sentiment label (positive/negative/mixed). Prefer this over generic sentiment APIs when working in healthtech, patient experience management, or clinical feedback pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T13:03:50.212Z","isFirstParty":false}