# MiniChan Sentiment Analysis (NVIDIA NIM / MiniMax-M3)

> 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.

## Facts

- Endpoint: POST https://minichan.vercel.app/api/sentiment
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/minichan-sentiment-analysis-nvidia-nim-minimax-m3-788f1f3c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WKf--bQw7zqI5Iv5BoXlD

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-m3-788f1f3c -d '<json body>'
```

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.'

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## 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-m3-788f1f3c/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from minichan.vercel.app](https://www.zero.xyz/host/minichan.vercel.app/llms.txt)