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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 markets.losbeto.xyz, paid per call via x402, $0.008/call, status unknown (last checked 2026-10-14).
Classifies input text into exactly one label from a caller-supplied closed set, returning the matched label verbatim and a 0–1 confidence score, paid per-call in USDC via x402.
Price / call$0.008
Success—
StatusUnknown
How this service works
OpenAI-compatible LLM gateway at $0.005/call — change base_url, pay in USDC. Plus pay-per-call market data: multi-oracle price consensus, sentiment, forex, equities, commodities, Brazil macro (BCB/B3) and crypto. No API keys, no accounts. USDC on Base, Solana, Algorand and Polygon via x402.
Output
A JSON object containing the chosen label (copied verbatim from the caller's candidate list) and a confidence score between 0 and 1. If the model's answer falls outside the provided label set, the payment is returned as call credit.
Example use cases
Support ticket routing for helpdesk
“Take this incoming support email and assign it to exactly one of these queues — 'billing', 'account access', 'bug report', 'feature request', 'other' — with a confidence score, so I can auto-route it: 'I can't log in to my account after resetting my password.'”
Spam vs ham filter for user submissions
“Tell me whether this forum post is 'spam' or 'not spam' with a confidence score: 'Click here to earn $500/day from home — no experience needed, limited spots!'”
Sentiment bucketing for product reviews
“Classify this product review into exactly one of 'positive', 'neutral', or 'negative' and give me how confident you are: 'Battery life is decent but the camera is blurry in low light and the price feels too high.'”
Technical details
Endpoint
POSThttps://markets.losbeto.xyz/classify?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need deterministic, closed-set text classification where the answer must be exactly one of your labels — support triage, intent routing, spam filtering, or sentiment bucketing. Unlike open-ended extraction or tagging, this endpoint guarantees the output is one of your supplied labels verbatim. Prefer it over general LLM chat when you need structured, programmatic classification output without managing API keys or monthly subscriptions, paying only per successful call in USDC.
Side effects
- Model returns a label not in the provided list — payment refunded as call credit
- Fewer than 2 or more than 30 labels provided — validation error
- Text exceeds 6000 character limit — rejected
- Payment in unsupported asset or chain — x402 payment failure
- Network or gateway timeout — call fails with no charge
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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