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Vextorium Language Detection (AI-Powered)
x402
Vextorium Language Detection (AI-Powered) is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-16).
Detects the natural language of a given text using a local AI model, returning the language name, ISO code, confidence score, and other candidate languages.
Price / call$0.003
Success—
StatusUnknown
How this service works
558 pay-per-call data APIs for AI agents: Solana and EVM on-chain data, tokenized stocks, DeFi, Hyperliquid, economy and official statistics, FX, validation, web and developer tools. Pay in USDC via x402.
Output
A JSON object containing: the detected language name (e.g. 'Catalan'), the ISO 639-1 language code (e.g. 'ca'), a confidence score between 0 and 1, the model used for inference (e.g. 'Qwen3-8B (local)'), and an array of other possible language candidates (e.g. ['es']).
Example use cases
Route multilingual support tickets
“I have a customer message that just came in: 'Minha encomenda ainda não chegou.' What language is it and how confident are you? I need to know so I can route it to the right support team.”
Detect regional language vs national language
“Can you tell me if this text is Catalan or Spanish? 'Necessito ajuda amb la meva comanda.' Give me the detected language with its ISO code and confidence.”
Pre-translation language check
“Before I send this to the translation API, can you identify the language of this paragraph? 'Die Bestellung wurde erfolgreich aufgegeben.' Tell me the language name, code, and any other languages it might be.”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/detect-language-ai?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-powered language detection with a confidence score and alternative language candidates, especially for multilingual pipelines, content routing, or preprocessing before translation. It is particularly strong on regional and minority European languages (e.g. Catalan). Prefer it over rule-based detectors when accuracy and confidence scoring matter more than latency, and when payment per call via x402/USDC is acceptable.
Side effects
- Empty or whitespace-only text input returns an error or null language
- Very short text (single word) may yield low confidence and multiple candidates
- Ambiguous closely related languages (e.g. Spanish vs Catalan) may have lower confidence
- Non-linguistic input (code, numbers, symbols) may return null or incorrect language
- Missing required 'text' field in body causes a 400-level validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text to analyse |
Output
Schema · Response
{
"type": "json",
"example": {
"name": "Catalan",
"model": "Qwen3-4B (local)",
"language": "ca",
"confidence": 0.95,
"other_languages": [
"es"
]
}
}Tags
x402
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