{"uid":"cap_tPA-LJKNunAMksu_jIP1f","slug":"indian-sentiment-analysis-api-83cec6e0","name":"Indian Sentiment Analysis API","description":"126 paid social media API endpoints - TikTok, Instagram, Twitter/X, YouTube, Finance, AI Tools &amp; more. Protected by x402 micropayments on Base chain.","url":"https://sna4an-sosmed-v1.vercel.app/api/indian-sentiment?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"query":{"type":"string"}}},"responseSchema":{"type":"object"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.169999","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":"$0.169999/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.169999","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.169999","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_1uBj13KqgdizV2YT7IO3r","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.169999","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes sentiment of text with a focus on Indian language/cultural context and social media content","exampleAgentPrompt":"Can you analyze the sentiment of this Indian social media post for me: 'Yaar aaj ka match ekdum mast tha, team ne kamaal kar diya!'","exampleUseCases":[{"title":"Brand monitoring for Indian market","prompt":"Analyze the sentiment of this customer review about our product posted on Indian Twitter: 'Yeh product bilkul bekar hai, paise barbaad ho gaye, never buying again.'"},{"title":"Political opinion sentiment tracking","prompt":"What's the sentiment behind this Indian news comment: 'Modi sarkar ne ek baar phir sabko hairaan kar diya, bahut achha decision liya'?"},{"title":"Hindi product review classification","prompt":"Tell me if this Flipkart product review is positive, negative, or neutral: 'Delivery fast thi lekin quality thodi disappointing lagi, overall theek hai.'"}],"resultDescription":"Returns a JSON object containing sentiment classification (positive, negative, or neutral), likely with a sentiment score or confidence value, and possibly additional metadata about the analyzed text in the Indian/Indic language context.","failureModes":["Empty or missing query field returns error","Non-Indian or unsupported language text may reduce accuracy","Very short or ambiguous text may yield low-confidence results","Payment failure via x402 micropayment blocks request","Rate limiting if too many requests are sent in quick succession"],"whenToPreferThis":"Choose this endpoint when you specifically need sentiment analysis tuned for Indian social media content, Indic languages (Hindi, Hinglish, regional languages), or content from Indian cultural contexts. It is preferable over generic English sentiment APIs when analyzing mixed-language posts, Hinglish slang, or content referencing Indian brands, politics, or culture.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T12:40:17.396Z","isFirstParty":false,"canonicalSlug":"indian-sentiment-analysis-api-83cec6e0"}