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Vextorium Language Detection
x402
Vextorium Language Detection is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-15).
Detects the language of a given text using a statistical model (no AI), returning language code, name, reliability flag, and probability score for 55 languages.
Price / call$0.003
Success—
StatusUnknown
How this service works
Detect the language of a text without AI (55 languages, statistical langdetect model) with probability and alternatives. Fast and cheap for routing messages or choosing a translation.
Output
Returns a JSON object with: 'language' (ISO 639-1 code, e.g. 'es'), 'name' (human-readable language name, e.g. 'Spanish'), 'reliable' (boolean indicating whether detection confidence is high), 'probability' (float 0–1 indicating detection confidence), and 'alternatives' (array of other candidate languages with their scores).
Example use cases
Multilingual chatbot routing
“I'm getting user messages in all kinds of languages — can you detect the language of this message and tell me the ISO code and confidence? The text is: 'Bonjour, je voudrais annuler ma commande.'”
Content moderation language filter
“Before I process this user-submitted review, can you check what language it's in and whether the detection is reliable? The text is: 'Das Produkt ist wirklich ausgezeichnet, ich bin sehr zufrieden.'”
Localization pipeline pre-check
“I need to know the language of this string before sending it to the right translator: 'Questo documento è riservato e non deve essere condiviso.' — give me the language name, code, and probability.”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/detect-language?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, deterministic language detection without the latency or cost of an LLM-based approach. It is ideal for high-volume pipelines (e.g., routing, filtering, or pre-processing multilingual content) where statistical accuracy across 55 languages is sufficient and a probability/reliability score is valuable for downstream decisions. Prefer it over AI-based detection when cost per call and speed matter more than nuanced understanding of low-resource or dialect variants.
Side effects
- Empty or very short text may produce unreliable detection with low probability score
- Ambiguous or mixed-language text may return 'reliable: false' with multiple alternatives
- Text with only numbers, symbols, or code may produce incorrect or low-confidence results
- Unsupported languages outside the 55-language model will be misidentified as a similar supported language
- Malformed request body missing required 'text' field will return an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"name": "Spanish",
"language": "es",
"reliable": true,
"probability": 1,
"alternatives": []
}
}Tags
x402
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