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NoJunk AI Text – Classify
x402
NoJunk AI Text – Classify is a paid API for AI agents from nojunk-ai-text.mick8511.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16).
Classifies text into one of your provided labels using LLM inference, with optional multi-label output and confidence scoring.
Price / call$0.002
Success—
StatusUnknown
How this service works
Pay-per-call text intelligence for agents: summarize any text (paragraph, bullets or TL;DR, in any language), extract named fields into strict JSON (null for anything not in the text, nothing invented), or classify text into your own labels. Up to 24,000 characters per call. You are only charged when a valid result is returned.
Output
Returns a JSON object with a 'label' field (or 'labels' array in multi mode) matching one of your provided labels, a 'confidence' string ('high', 'medium', or 'low'), the model name used, prompt and completion token counts, and an ISO 8601 timestamp. Nothing is invented — if the text doesn't fit any label, the model still picks the closest provided option.
Example use cases
Support ticket routing by department
“Classify this incoming support ticket as exactly one of 'billing', 'returns', 'technical', or 'account' so I can route it automatically: 'I can't log into my account and I think I was charged for a subscription I didn't want.'”
News article topic tagging
“Tag this news snippet into one of these topics — 'politics', 'sports', 'technology', 'health', 'entertainment' — allow multiple labels if it fits more than one: 'The Senate passed a sweeping AI regulation bill as tech stocks fell sharply on the news.'”
Spam or ham email detection
“Tell me whether this email is 'spam' or 'ham': 'Congratulations! You've been selected for a $1,000 gift card. Click here to claim your prize before it expires.'”
Technical details
Endpoint
POSThttps://nojunk-ai-text.mick8511.workers.dev/classify?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need cheap, reliable, pay-per-result text classification into your own custom label set without any subscription or setup. Ideal for agents that need to route, tag, or categorize arbitrary text on-demand at $0.002/call. Prefer it over general-purpose LLM APIs when you want strict label adherence (the model will always return one of your labels), built-in confidence scoring, and zero charge on failed calls.
Side effects
- Payment not received or insufficient USDC — returns 402 Payment Required with no charge
- Text exceeds 24,000 characters — request rejected
- Labels array has fewer than 2 or more than 20 items — validation error
- Empty or missing text field — returns an error with no charge
- Model inference timeout — transient 5xx error, safe to retry
- Label not in provided list — impossible by design; model is constrained to provided labels
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | The text to classify (1 to 24000 characters) |
| multi | boolean | Optional: true to allow several labels (returns labels[]), default false |
| labels | array | Allowed labels, 2-20 strings; the result is always one of them |
Output
Schema · Response
{
"type": "json",
"example": {
"label": "earnings",
"model": "@cf/meta/llama-3.3-70b-instruct-fp8-fast",
"usage": {
"prompt_tokens": 170,
"completion_tokens": 12
},
"confidence": "high",
"generated_at": "2026-10-15T12:00:00.000Z"
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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