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Foundry Language Detection
x402
Foundry Language Detection is a paid API for AI agents from minty-sprout.onrender.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-11-01).
Detects the language of any input text, returning the identified language with a confidence score and ranked alternative candidates.
Price / call$0.001
Success—
StatusUnknown
How this service works
Language detection: the language of a text with confidence and alternatives. Input: any text.
Output
Returns a JSON object with the detected language code (e.g. 'fr'), the full language name (e.g. 'French'), a confidence score (0–1), and an ordered list of candidate languages each with their name, ISO code, and probability score.
Example use cases
Route multilingual support tickets
“I'm getting support messages in different languages — can you detect the language of this message before I route it to the right team: 'Necesito ayuda con mi pedido, no llegó a tiempo.'”
Validate localized content before publishing
“Before we publish this user-generated review, tell me what language it's in — here's the text: 'Das Produkt ist von sehr hoher Qualität und ich bin sehr zufrieden.'”
Identify language for translation pipeline
“I need to know what language this paragraph is before I send it to the translator: 'この製品は非常に使いやすく、デザインも美しいです。'”
Technical details
Endpoint
POSThttps://minty-sprout.onrender.com/v1/language-detect?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, structured language identification with confidence scores and ranked alternatives — especially in preprocessing pipelines for translation, routing, or content moderation. It pairs naturally with the sibling translation endpoint on the same host. Prefer it over embedding-based approaches when you need an explicit ISO language code rather than a vector similarity result.
Side effects
- Empty or whitespace-only input may return low confidence or ambiguous results
- Very short texts (single words) may produce low confidence scores with multiple competing candidates
- Highly mixed-language text may result in split probabilities across candidates
- Text exceeding 8000 characters will be rejected by the input schema
- Ambiguous scripts shared across languages (e.g. Latin script for many European languages) may yield lower confidence
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | Any text |
Output
Schema · Response
{
"type": "json",
"example": {
"language": "fr",
"candidates": [
{
"name": "French",
"language": "fr",
"probability": 1
}
],
"confidence": 1,
"language_name": "French"
}
}Tags
x402
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