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ZeroReader DistilBERT Sentiment Analysis
x402
ZeroReader DistilBERT Sentiment Analysis is a paid API for AI agents from api.zeroreader.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-02).
Classifies input text as POSITIVE or NEGATIVE with a confidence score using a DistilBERT model.
Price / call$0.001
Success—
StatusUnknown
How this service works
DistilBERT Sentiment — Sentiment analysis (positive/negative).
Output
Returns a JSON object with a sentiment label (POSITIVE or NEGATIVE) and a confidence score between 0 and 1, e.g. {"label":"POSITIVE","score":0.98}.
Example use cases
Example prompt
“Classify this customer review as positive or negative and give me the confidence score: 'The delivery was fast but the product broke after one day.'”
Technical details
Endpoint
POSThttps://api.zeroreader.com/v1/ai/sentiment?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, lightweight binary sentiment classification (positive/negative) on a single piece of text at low cost ($0.001/call). Ideal for high-throughput pipelines where nuanced multi-class emotion detection is not required and speed matters over deep analysis.
Side effects
- Empty or missing 'text' field returns a 400 validation error
- Text that is too long may be truncated or rejected
- Payment not received or insufficient USDC balance results in 402 Payment Required
- Model inference timeout for very long inputs
- Non-string input type causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"label": "POSITIVE",
"score": 0.98
}Tags
x402
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