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MiniChan Sentiment Analysis — NVIDIA NIM MiniMax-M3
x402
MiniChan Sentiment Analysis — NVIDIA NIM MiniMax-M3 is a paid API for AI agents from app-minichwaan.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Analyzes the sentiment of a given text string using NVIDIA NIM's MiniMax-M3 428B MoE model, returning sentiment classification results.
Price / call$0.05
Success—
StatusUnknown
How this service works
NVIDIA NIM MiniMax-M3 (428B MoE) powered API for AI agents. 15 multimodal endpoints — text, vision, code, reasoning, creative. Pay with USDC on Base via x402.
Output
Returns a JSON object containing the sentiment analysis result for the input text, likely including a sentiment label (e.g. positive, negative, neutral) and potentially a confidence score or polarity value, powered by NVIDIA NIM's MiniMax-M3 428B MoE model.
Example use cases
Customer review sentiment triage
“Analyze the sentiment of this product review and tell me if it's positive, negative, or neutral: 'Absolutely loved the design but the battery life was disappointing and customer support took forever to respond.'”
Social media brand monitoring
“What's the sentiment of this tweet about our brand: 'Just switched to @BrandX and honestly couldn't be happier — their app is smooth and support team is super responsive!'? Is it positive, negative, or mixed?”
Support ticket tone detection
“Can you check the sentiment of this support message so I know how urgently to escalate it: 'I've been waiting three weeks for a refund and nobody has responded to my emails. This is completely unacceptable.'?”
Technical details
Endpoint
POSThttps://app-minichwaan.vercel.app/api/sentimentWhen to prefer
Choose this endpoint when you need sentiment analysis powered by a large-scale MoE model (MiniMax-M3 428B) for high-quality nuanced tone detection, and when you are already operating in a crypto-native or x402 payment environment using USDC on Base. It is a good fit for agents that need pay-per-call sentiment inference without a subscription commitment.
Side effects
- Missing required 'text' field returns a validation error
- Empty string input may produce unreliable or error results
- Very long text inputs may be truncated or rejected
- Payment failure via x402/USDC on Base will block the request
- Rate limiting may apply if too many requests are sent in quick succession
- Non-English text may produce lower accuracy sentiment results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to analyze |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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