{"uid":"cap_WfkeFIEEGTM8yB-Yij_Ng","slug":"gg402-vercel-app-3c85b3f8","name":"GG402 Sentiment Analysis","description":"Real-time sentiment analysis of text, news, and social media to gauge market and community sentiment.","url":"https://gg402.vercel.app/sentiment","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text"],"properties":{"text":{"type":"string"}}},"responseSchema":{"type":"object","required":["text","model","score","sentiment","explanation"],"properties":{"text":{"type":"string"},"model":{"type":"string"},"score":{"type":"number"},"sentiment":{"type":"string"},"explanation":{"type":"string"}}},"example":{"request":{"text":"The new product launch exceeded expectations with strong customer feedback and positive market reception."},"response":{"text":"The new product launch exceeded expectations with strong customer feedback and positive market reception.","model":"gpt-4o-mini","score":0.9,"sentiment":"positive","explanation":"The text expresses enthusiasm and satisfaction regarding the new product launch, highlighting strong customer feedback and positive market reception, which indicates a favorable outcome."}},"exampleRequest":{"text":"The new product launch exceeded expectations with strong customer feedback and positive market reception."},"tags":["x402"],"displayCostAmount":"0.010000","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","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":"$0.010000/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_uedIyg_MxU3xi1a4HGRdg","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","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, returning a numeric score, sentiment label, and natural language explanation.","exampleAgentPrompt":"Can you analyze the sentiment of this text and give me a score and explanation: 'The Fed's latest rate decision rattled investors, with markets closing sharply lower amid widespread uncertainty about future policy direction.'","exampleUseCases":null,"resultDescription":"Returns the original text, the model used (gpt-4o-mini), a numeric sentiment score (0–1 scale), a sentiment label (e.g. 'positive', 'negative', 'neutral'), and a plain-English explanation of why the text received that sentiment rating.","failureModes":["Missing 'text' field returns a validation error","Empty string input may return an undefined or neutral result","Extremely long text may be truncated or cause a timeout","Non-English text may produce less accurate sentiment classification","Ambiguous or sarcastic text may result in incorrect sentiment labeling"],"whenToPreferThis":"Choose this endpoint when you need a fast, affordable ($0.01 USDC), single-call sentiment classification with a human-readable explanation — especially for financial text, news snippets, or social media content. Prefer it over heavyweight NLP pipelines when simplicity and speed matter more than batch throughput or fine-grained emotion categories.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T06:36:23.575Z","isFirstParty":false}