{"uid":"cap_dKH_guTduo5RL5pLTYen3","slug":"whatchuneed-sentiment-analysis-2e749419","name":"whatchuneed Sentiment Analysis","description":"320+ pay-per-call API endpoints across accommodation, LLM, code execution, crypto, medical, finance, and more. One API, one payment. Powered by x402 protocol.","url":"https://whatchuneed.vercel.app/api/alpha/sentiment","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Request input"}}},"responseSchema":{"type":"object","properties":{"result":{"type":"object","description":"Response data"},"status":{"type":"string"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_NDKfFLNkeDcs_14MS9L_X","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes the sentiment of a given text input, returning a sentiment classification and result","exampleAgentPrompt":"Can you analyze the sentiment of this customer review: 'The product arrived quickly but the packaging was damaged and customer support was unhelpful'? Tell me if it's positive, negative, or neutral.","exampleUseCases":[{"title":"Customer review sentiment triage","prompt":"Analyze the sentiment of this review and tell me if it's positive, negative, or mixed: 'I loved the app's interface but the subscription pricing feels way too high for what you get.'"},{"title":"Social media brand monitoring","prompt":"Can you check the sentiment of this tweet about our brand: 'Just tried @BrandX for the first time — honestly underwhelmed, expected way more for the price'?"},{"title":"Support ticket urgency detection","prompt":"Run sentiment analysis on this support ticket message: 'I am absolutely furious, this is the third time my order has been wrong and nobody has helped me.' I want to know how negative it is."}],"resultDescription":"Returns a JSON object with a 'status' field indicating success or failure and a 'result' object containing the sentiment analysis outcome (e.g. polarity classification such as positive/negative/neutral and potentially a confidence score or detailed breakdown)","failureModes":["Empty or missing 'input' field returns a validation error","Input text that is too long may be truncated or rejected","Ambiguous or non-linguistic input may produce unreliable sentiment results","Network or payment authorization failure returns a 402 Payment Required response","Service downtime or backend errors return a 5xx status"],"whenToPreferThis":"Choose this endpoint when you need a quick, pay-per-call sentiment classification for arbitrary text without setting up or managing your own NLP infrastructure. It is well-suited for agents that need on-demand sentiment scoring for individual text snippets — reviews, tweets, support tickets — without committing to a subscription model. Prefer alternatives if you need batch processing of large volumes of text, domain-specific sentiment tuning, or detailed emotion breakdowns beyond polarity.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:49:46.649Z","isFirstParty":false}