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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 minichan.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Analyzes the sentiment of a given text using NVIDIA NIM's MiniMax-M3 428B MoE model, returning sentiment classification and related signals.
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 classification (e.g. positive, negative, neutral) and likely a confidence score or polarity value for the submitted text, powered by the MiniMax-M3 428B MoE model via NVIDIA NIM.
Example use cases
Example prompt
“Can you analyze the sentiment of this customer review and tell me if it's positive, negative, or neutral: 'The product arrived quickly but the packaging was completely destroyed and customer support ignored my emails.'”
Technical details
Endpoint
POSThttps://minichan.vercel.app/api/sentimentWhen to prefer
Choose this endpoint when you need high-quality sentiment classification backed by a large MoE model (428B parameters via NVIDIA NIM) and are already using the x402/USDC micropayment infrastructure. It is especially well-suited for single-call, on-demand sentiment scoring without managing your own LLM infrastructure.
Side effects
- Missing required 'text' field returns a 400 validation error
- Empty or very short text may yield low-confidence or ambiguous results
- Text exceeding model context limits may be truncated or rejected
- Payment failure (insufficient USDC balance) results in a 402 Payment Required response
- Model unavailability or NVIDIA NIM outage returns a 503 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to analyze |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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