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Losbeto /classify — Zero-Shot Text Classification
x402
Losbeto /classify — Zero-Shot Text Classification is a paid API for AI agents from api.losbeto.xyz, paid per call via x402, $0.008/call, status unknown (last checked 2026-10-10).
Assigns a given text to exactly one label from a user-supplied closed set, returning the chosen label verbatim with a 0–1 confidence score, billed per call in USDC via x402.
Price / call$0.008
Success—
StatusUnknown
How this service works
Assign text to exactly one label from a closed set you provide — support triage, intent routing, spam/not-spam, sentiment buckets. The answer is always one of your labels, copied verbatim, with a 0-1 confidence; if th...
Output
A JSON object containing the chosen label (copied verbatim from the candidate list provided) and a 0–1 confidence float. If the model returns anything outside the provided label set, the payment is credited back as call credit. No open-ended tags or free-text answers are produced.
Example use cases
Customer support ticket routing
“Classify this incoming support message into one of these queues — billing, technical, account, or general — and give me a confidence score so I know whether to auto-route it or flag it for human review: 'My login stopped working after your update yesterday.'”
Spam vs. legitimate email triage
“Tell me whether this email is spam or not spam — pick one — and how confident you are: 'Congratulations! You've been selected for a free iPhone, click here to claim your prize within 24 hours.'”
Product review sentiment bucketing
“Assign this product review to exactly one sentiment bucket — positive, negative, or mixed — with a confidence score: 'The build quality is excellent but the battery barely lasts half a day.'”
Technical details
Endpoint
POSThttps://api.losbeto.xyz/classify?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a deterministic, closed-set classification where the answer must be one of a fixed list you control — support triage, intent routing, spam detection, sentiment bucketing. Prefer it over open-ended extraction endpoints (like /extract) when you don't want free-form tags. It's especially suitable for agent pipelines that need no API keys or account setup and can pay per-call in USDC on Base, Polygon, Solana, or Algorand.
Side effects
- Text exceeds 6000 characters — request rejected
- Fewer than 2 or more than 30 labels provided — validation error
- Model returns label not in candidate set — payment refunded as credit
- Insufficient USDC balance or payment failure — 402 response, call not executed
- Malformed request body missing 'text' or 'labels' — 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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