{"uid":"cap_PqCaorAPo0Zfujv_hexke","slug":"amanchain-sentiment-analysis-a376b059","name":"AmanChain Sentiment Analysis","description":"Sentiment Analysis: sentiment, polarity score and emotions for any text Executed deterministically by the AmanChain node against live consensus state (real blocks, pools, balances) — paid per call via x402, settled in USDC on Base. Input: JSON body {\"serviceId\":\"aman-sentiment\",\"request\":\"<input>\"}. No account, no API key.","url":"https://preview-chat-701ec510-82d7-4ee3-ae9d-8fdb8c4f421b.space-z.ai/api/x402/aman-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":{"type":"object","properties":{"request":{"type":"string","description":"service input (see body example)"},"serviceId":{"type":"string","description":"the service id, \"aman-sentiment\""}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST","PUT","PATCH"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.00311","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":"$0.00311/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.00311","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.00311","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_J4NHoxobHywnf5lKXiAgn","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.00311","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes any input text for sentiment (positive/negative/neutral), polarity score, and detected emotions","exampleAgentPrompt":"Can you analyze the sentiment of this review and tell me whether it's positive, negative, or neutral along with a polarity score and any emotions detected: 'The product arrived late and the packaging was damaged, but customer support resolved it quickly.'","exampleUseCases":[{"title":"Customer review sentiment triage","prompt":"Analyze the sentiment of this customer review and tell me the polarity score and emotions: 'I've been using this app for a month and it crashes every other day — completely unreliable.'"},{"title":"Social media brand monitoring","prompt":"Check the sentiment and emotions in this tweet about our brand: 'Just tried @BrandX's new coffee blend and honestly it's the best thing I've tasted all year! #obsessed'"},{"title":"Support ticket emotion detection","prompt":"What's the emotional tone and sentiment of this support message — is the customer angry, frustrated, or neutral? Text: 'This is the third time I've contacted support about the same issue and nothing has been fixed.'"}],"resultDescription":"Returns a sentiment label (positive, negative, or neutral), a numeric polarity score indicating sentiment strength and direction, and a set of detected emotions (e.g. joy, anger, sadness, fear, surprise) present in the input text.","failureModes":["Empty or missing 'request' field returns an error or empty result","Extremely short or ambiguous text may yield low-confidence or neutral scores","Non-English text may produce less accurate sentiment and emotion detection","Malformed JSON body returns a parse error","Payment failure via x402 results in a 402 response and no analysis"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call sentiment and emotion analysis without managing API keys or subscriptions. It is well-suited for agents processing individual text items in real time and requiring both a polarity score and emotion labels in a single call. Prefer alternatives if you need batch processing at high volume or require fine-tuned domain-specific sentiment models.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T12:58:40.435Z","isFirstParty":false}