{"uid":"cap_dhHtfXuxSwRprt75a39jv","slug":"bolt-sentiment-analysis-aed7f8b4","name":"Bolt Sentiment Analysis","description":"Utility toolkit for AI agents. 54 endpoints — tools, data, and AI processing. Pay per request in USDC via x402.","url":"https://bolt.orbonomy.xyz/api/sentiment","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}},"responseSchema":{"type":"object","properties":{"data":{"type":"object"},"success":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.03","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":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_3ufW3J0ymqpgE_xfYmB_o","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes the sentiment of a given text string and returns a sentiment classification result","exampleAgentPrompt":"Can you analyze the sentiment of this customer review and tell me whether it's positive, negative, or neutral: \"The product arrived on time but the packaging was completely destroyed and customer support never responded to my complaint\"?","exampleUseCases":[{"title":"Monitor social media brand sentiment","prompt":"I need you to check these tweets mentioning our brand and tell me which ones are positive, negative, or neutral so I can prioritize which ones need responses from our team."},{"title":"Analyze customer support ticket tone","prompt":"Can you go through these support emails and classify the sentiment of each one? I want to know which customers are frustrated versus satisfied so we can route the angry ones to our senior team first."},{"title":"Score product review emotional tone","prompt":"I'm collecting reviews from our app store and I need you to analyze the sentiment of each review—tell me if they're positive, negative, or neutral—so I can understand how customers really feel about the latest update."}],"resultDescription":"Returns a JSON object with a `success` boolean and a `data` object containing the sentiment classification (e.g. positive, negative, neutral) and potentially a confidence score or intensity metric for the submitted text.","failureModes":["Missing required `text` field returns a 400 or error response","Empty string input may produce unreliable or null sentiment results","Very long texts may be truncated or cause timeouts","Payment failure via x402 (insufficient USDC balance) returns 402 Payment Required","Non-English text may return inaccurate or unsupported sentiment classifications"],"whenToPreferThis":"Choose this endpoint when you need quick, pay-per-use sentiment scoring without committing to a subscription-based NLP service. Ideal for agents processing individual text items on demand using USDC micropayments via x402. Good for ad hoc review analysis, social monitoring, or pipelines where volume is low and flexibility matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T12:34:56.795Z","isFirstParty":false}