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Arabic Sentiment Analysis API
x402
Arabic Sentiment Analysis API is a paid API for AI agents from x402-apis-eta.vercel.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Analyzes sentiment (positive, negative, neutral) of Arabic text using a pay-per-request micropayment model via x402 protocol
Price / call$0.01
Success—
StatusUnknown
How this service works
AI-agent-friendly APIs with instant micropayments via x402 protocol. No API keys, no accounts - just pay and access.
Output
Returns a sentiment classification (positive, negative, or neutral) for the provided Arabic text, likely including a confidence score or polarity value indicating the strength and direction of the detected sentiment.
Example use cases
Example prompt
“Can you analyze the sentiment of this Arabic text and tell me if it's positive, negative, or neutral: "هذا المنتج رائع جداً وأنصح به الجميع"?”
Technical details
Endpoint
POSThttps://x402-apis-eta.vercel.app/api/arabic/sentimentWhen to prefer
Choose this endpoint when you need sentiment analysis specifically for Arabic-language text without wanting to manage API keys or monthly subscriptions — ideal for low-volume, pay-as-you-go use cases where micropayments per call at $0.01 USDC are acceptable. Prefer this over general-purpose NLP APIs when Arabic language support is the primary requirement.
Side effects
- Missing 'text' field in request body returns 400 validation error
- Non-Arabic or empty text may return unexpected results or low-confidence classification
- Payment failure via x402 protocol returns 402 Payment Required
- Rate limiting or server unavailability returns 503
- Very long text inputs may be truncated or rejected
Input
{
"text": "هذا المنتج رائع جداً وأنصح به الجميع"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Arabic text to analyze |
Output
{
"text": "هذا المنتج رائع جداً وأنصح به الجميع",
"score": 2,
"dialect": "MSA",
"sentiment": "positive",
"confidence": 0.6000000000000001,
"analyzed_at": "2026-06-18T06:15:00.574Z",
"negative_words": [],
"positive_words": [
"رائع"
],
"dialect_confidence": 0.6
}Tags
x402
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