{"uid":"cap_JxP60o9a6cLWdlpBaf4NC","slug":"kiteendpoints-ai-news-sentiment-analysis-ee06d86a","name":"KiteEndpoints.ai - News Sentiment Analysis","description":"400+ paid API endpoints. Social media, AI, crypto, finance, weather, ecommerce, tools. Pay per request with USDC on Base chain.","url":"https://kite-endpoints.vercel.app/api/sentiment/news","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"object","example":{"result":{"data":"example response"}},"properties":{"result":{"type":"object","description":"API response data"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.08","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":"$0.08/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.08","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.08","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_NraF_6yhoX12AzpZMQeue","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.08","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 news articles or headlines, returning positive, negative, or neutral classification with confidence signals","exampleAgentPrompt":"Analyze the sentiment of this news article for me: 'Tesla announces record quarterly earnings, beating analyst expectations by 20%, sending shares up 8% in after-hours trading.' Is it positive, negative, or neutral, and how confident are you?","exampleUseCases":[{"title":"Financial news sentiment for trading signals","prompt":"I just pulled today's top 5 headlines about Apple — can you run sentiment analysis on each one and tell me whether the overall news tone is bullish or bearish?"},{"title":"Crypto market mood monitoring","prompt":"Here's a news snippet about Bitcoin's latest price drop: 'Bitcoin falls 15% amid regulatory crackdown fears.' Analyze the sentiment and tell me if it's negative, and how strongly negative it is."},{"title":"Brand reputation tracking from press","prompt":"I need to know if this press release about our company is being framed positively or negatively — can you analyze the sentiment: 'Acme Corp faces scrutiny over data privacy practices as regulators open formal investigation.'"}],"resultDescription":"Returns a sentiment classification (positive, negative, or neutral) for the submitted news content, typically accompanied by a confidence score or sentiment intensity value. The response is structured as a result object containing the classification data.","failureModes":["Empty or missing news text input returns an error or ambiguous result","Extremely short or ambiguous headlines may yield low-confidence or unreliable classifications","Non-English news content may not be accurately classified if the model is English-only","Rate limiting or payment failures via x402/USDC may block the request","Generic schema may not surface granular sub-sentiment categories (e.g., fear, excitement)"],"whenToPreferThis":"Choose this endpoint when you need quick, pay-per-use sentiment scoring on news content without committing to a subscription NLP service. It is well-suited for agents that sporadically analyze financial or general news headlines and want per-request USDC billing on Base chain rather than monthly API subscriptions. Prefer alternatives with richer schemas if you need entity-level sentiment, aspect-based analysis, or domain-specific financial NLP models.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:42:58.542Z","isFirstParty":false}