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ClearCheck Custom Label Classifier
x402
ClearCheck Custom Label Classifier is a paid API for AI agents from loonie-toll.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Classifies a piece of text into one of your supplied labels, returning the winning label, confidence score, and a one-line reason.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sort text into one of your own labels, with a confidence and a one-line reason. You supply the labels.
Output
Returns the best-matching label from your supplied list, a numeric confidence score (0–1), a one-line reason explaining the classification, the full list of candidate labels, a verdict string, the model used, source attribution, and a disclaimer.
Example use cases
Support ticket routing agent
“Classify this incoming support ticket into one of these categories: billing, technical, onboarding, cancellation — 'I've been charged twice this month and need a refund immediately.' Tell me the label and how confident you are.”
Content moderation triage
“Sort this user comment into one of these labels: safe, borderline, harmful — 'You should just disappear and nobody would care.' Give me the label and a one-line reason.”
News article topic tagging
“What label fits this headline best — 'Fed raises interest rates again amid inflation fears' — from these options: economics, politics, health, sports, technology? Include the confidence score.”
Technical details
Endpoint
GEThttps://loonie-toll.onrender.com/classifyWhen to prefer
Choose this endpoint when you need zero-shot text classification into your own arbitrary label set without training a custom model. It is ideal for routing, tagging, and triage tasks where the label taxonomy is defined by the caller and may change per request. Prefer it over fixed-category sentiment or topic APIs when the categories are domain-specific or dynamic.
Side effects
- Missing 'text' or 'labels' query parameter returns an error
- Text exceeding 6000 characters may be rejected or truncated
- Ambiguous or overlapping labels may produce low confidence scores
- A single label supplied returns trivially with 100% confidence
- Non-English or mixed-language text may degrade classification accuracy
- Payment failure (x402) blocks the request from completing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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