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KiteEndpoints.ai - Indian Sentiment Analysis
x402
KiteEndpoints.ai - Indian Sentiment Analysis is a paid API for AI agents from kite-hub-v2.vercel.app, paid per call via x402, $0.14/call, status unknown (last checked 2026-09-14).
Analyzes sentiment of Indian-language or India-context text, returning a sentiment classification and related data
Price / call$0.14
Success—
StatusUnknown
How this service works
400+ paid API endpoints. Social media, AI, crypto, finance, weather, ecommerce, tools. Pay per request with USDC on Base chain.
Output
Returns a JSON object with sentiment classification (positive, negative, neutral) and associated data for the provided Indian-language or India-context text input
Example use cases
Monitor Indian e-commerce customer satisfaction
“I'm getting a lot of reviews on my Indian marketplace from customers writing in Hindi and Hinglish. Can you quickly analyze whether these reviews are positive or negative so I can identify which products are causing problems? Here's one: 'Product quality bahut ganda hai, bilkul paisa barbaad. Refund de do!'”
Track brand sentiment across Indian social media
“We're launching a new product in India and I need to understand how people are reacting to our posts on Instagram and Twitter. Can you go through these comments written in Marathi and Bengali and tell me which ones express positive, negative, or neutral feelings about our brand?”
Analyze customer support feedback in regional Indian languages
“Our support team in India gets feedback from customers in multiple languages like Tamil, Telugu, and Hinglish. Can you help me understand the overall sentiment of these customer messages so I know which support interactions went well and which ones need improvement?”
Technical details
Endpoint
POSThttps://kite-hub-v2.vercel.app/api/indian-sentimentWhen to prefer
Use this endpoint when you need sentiment analysis specifically tuned for Indian languages (Hindi, Hinglish, Marathi, Bengali, Tamil, etc.) or India-context content, rather than a generic English-only sentiment classifier. Prefer this when analyzing Indian social media, e-commerce reviews, or customer feedback from Indian markets.
Side effects
- Missing or empty text input returns error
- Unsupported language variant may yield low-confidence results
- Payment failure via x402/USDC returns 402 error
- Malformed request body returns 400 error
- Rate limiting or service unavailability returns 503
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| result | object | API response data |
Tags
x402
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