{"uid":"cap_5sAhX-HtbgQhkXgvnRpj9","slug":"basebuilder-sentiment-exercisedb-endpoint-16760086","name":"BaseBuilder Sentiment - ExerciseDB Endpoint","description":"BaseBuilder Sentiment API hub - 14 paid endpoints","url":"https://bb-sentiment.vercel.app/api/exercisedb?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.156708","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":"$0.156708/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.156708","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.156708","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_7K_aqSo3O2ej9fb3nYGUJ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.156708","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Sentiment analysis API endpoint routed through an ExerciseDB-labeled path on a multi-endpoint sentiment hub","exampleAgentPrompt":"Can you analyze the sentiment of this customer review and tell me if it's positive, negative, or neutral with a confidence score: 'The workout app was intuitive but the exercise tracking kept glitching during my sessions'?","exampleUseCases":[{"title":"Monitor customer feedback sentiment in bulk","prompt":"I've got a batch of customer reviews from our fitness app. Can you run sentiment analysis on each one and flag which ones are negative so we can prioritize responses to frustrated users?"},{"title":"Classify social media mentions by emotional tone","prompt":"We're launching a new workout program next week. Once people start posting about it, can you analyze the sentiment of mentions and comments to see if the response is generally positive, negative, or mixed?"},{"title":"Score user satisfaction from support messages","prompt":"Our support team gets tons of messages every day. Can you analyze the sentiment of incoming support tickets and give me a confidence score so we know which conversations indicate unhappy customers who need extra attention?"}],"resultDescription":"Returns a sentiment classification (positive, negative, or neutral) along with a confidence score for the submitted text input.","failureModes":["Missing or malformed request body returns 400 error","Payment not included or insufficient USDC triggers 402 Payment Required","Endpoint path mismatch or incorrect method returns 404 or 405","Service unavailable due to Vercel cold start or downtime returns 503","Ambiguous or empty text input may return low-confidence or error response"],"whenToPreferThis":"Use this endpoint when you need quick, paid sentiment classification via the BaseBuilder Sentiment hub and are routing through the /api/exercisedb path; however, the mismatch between the path name and the described sentiment functionality suggests caution — verify the endpoint behavior before production use.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T00:43:34.883Z","isFirstParty":false,"canonicalSlug":"basebuilder-sentiment-exercisedb-endpoint-16760086"}