# MiniChan Sentiment Analysis — NVIDIA NIM MiniMax-M3

> 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.

## Facts

- Endpoint: POST https://app-minichwaan.vercel.app/api/sentiment
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/minichan-sentiment-analysis-nvidia-nim-minimax-m3-d5a7fc33
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ngtC2vXBdqqyH2U6PdkAf

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability minichan-sentiment-analysis-nvidia-nim-minimax-m3-d5a7fc33 -d '<json body>'
```

Example prompt: Can you analyze the sentiment of this customer review for me: 'The product arrived quickly and the quality exceeded my expectations, but the packaging was a bit flimsy'? Tell me if it's positive, negative, or neutral.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "text"
 ],
 "properties": {
  "text": {
   "type": "string",
   "description": "Text to analyze"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/minichan-sentiment-analysis-nvidia-nim-minimax-m3-d5a7fc33/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from app-minichwaan.vercel.app](https://www.zero.xyz/host/app-minichwaan.vercel.app/llms.txt)