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Vextorium Zero-Shot Text Classifier
x402
Vextorium Zero-Shot Text Classifier is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.005/call, status down (last checked 2026-10-02).
Classifies text into user-supplied labels using local AI, returning the best label(s) with a confidence score and reason.
Price / call$0.005
Success—
StatusDown
How this service works
Zero-shot text classification with local AI: pick the best label (or several) from your own list, with confidence and reason.
Output
Returns a JSON object with: selected label(s) as an array, a numerical confidence score (0-1), a human-readable reason explaining the choice, and the model name used for inference.
Example use cases
Support ticket routing by topic
“I have a support ticket that reads: 'The app crashes every time I try to upload a photo.' Classify it into one of these categories: bug report, feature request, account issue, billing question — and give me the confidence score and your reason.”
Spending category tagging for transactions
“Label this transaction description — 'AMZN Mktp US*AB12C food delivery' — as one of: groceries, dining, entertainment, travel, shopping, utilities. Pick multiple labels if more than one applies.”
Sentiment and intent classification for reviews
“Here's a product review: 'Battery life is amazing but the camera is disappointing for the price.' Classify it into one of these labels: positive, negative, mixed, neutral — and explain why you chose that label.”
Technical details
Endpoint
POSThttps://api.vextorium.com/clasificar-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need zero-shot classification against a fully custom, user-defined label set without training a model — especially useful when labels change per request, you need a confidence score and a human-readable reason, and you want a cost-effective ($0.005/call) local-AI solution rather than a heavyweight cloud NLP API.
Side effects
- Fewer than 2 or more than 30 candidate labels provided — validation error
- Empty or missing 'texto' field — required field error
- Ambiguous text with very low confidence score returned (near 0.5)
- Label list contains duplicates or very similar labels causing split confidence
- Network timeout if input text is extremely long
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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