{"uid":"cap_Tijl4FYewNSbTEQJTH7W6","slug":"dt0ur-online-sentiment-analysis-c12bca91","name":"dt0ur.online Sentiment Analysis","description":"Classifies text sentiment (POSITIVE/NEGATIVE) with confidence probability scores using Xenova DistilBERT SST-2 transformers.","url":"https://dt0ur.online/api/inference/sentiment?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"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":"down","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_2I7X5SHJH5kwiAt-mw7Ys","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":"Classifies text as POSITIVE or NEGATIVE sentiment with a confidence probability score using DistilBERT SST-2","exampleAgentPrompt":"Classify the sentiment of this customer review and give me the confidence score: 'The delivery was lightning fast but the packaging was completely crushed — really disappointed.'","exampleUseCases":[{"title":"Customer review sentiment screening","prompt":"Analyze the sentiment of this product review and tell me how confident you are: 'Absolutely love this headset, the sound quality blew me away and it arrived ahead of schedule.'"},{"title":"Social media comment moderation","prompt":"Is this tweet positive or negative, and what's the confidence score? The text is: 'Waited 45 minutes and the staff just ignored us the whole time, never coming back.'"},{"title":"Support ticket tone detection","prompt":"Run sentiment analysis on this support ticket message: 'I've been a loyal customer for three years and this is the worst experience I've ever had — completely unacceptable.'"}],"resultDescription":"Returns a sentiment classification label (POSITIVE or NEGATIVE) along with a confidence probability score between 0 and 1, indicating how strongly the model believes the text belongs to that class.","failureModes":["Empty or missing text field returns a validation error","Extremely long text passages may exceed model context limits","Ambiguous or mixed-sentiment text may yield low confidence scores near 0.5","Non-English text may produce unreliable classification as the model is optimized for English","Payment failure (x402) prevents inference from running"],"whenToPreferThis":"Choose this endpoint when you need fast, binary (POSITIVE/NEGATIVE) sentiment classification with a confidence score on English text, and you want a lightweight transformer-based inference without setting up your own ML pipeline. Ideal for high-throughput review screening, comment filtering, or tone detection where a two-class output is sufficient. For multi-class or nuanced emotion detection, a more specialized model may be preferable.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-03T01:26:50.216Z","isFirstParty":false,"canonicalSlug":"dt0ur-online-sentiment-analysis-c12bca91"}