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Language and Script Detection
x402
Language and Script Detection is a paid API for AI agents from twin.unykorn.org, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-30).
Detects the language and writing script of an input text, returning language identification results.
Price / call$0.002
Success—
StatusUnknown
How this service works
Detect the language and script of a text — Genesis402 / UnyKorn Operator Network
Output
Returns the detected language (e.g. ISO language code or language name) and the writing script (e.g. Latin, Cyrillic, Arabic, Devanagari) of the provided text, likely with a confidence score or probability.
Example use cases
Route multilingual support tickets
“I need to figure out what language this customer message is in before I route it to the right support team: 'Hola, necesito ayuda con mi pedido.'”
Validate user-submitted content language
“Can you detect the language and script of this user-submitted text to make sure it matches their selected region? The text is: '你好，请问这个产品有货吗？'”
Pre-process text before translation
“Before I send this snippet to a translator, can you tell me what language and script it's in? The text is: 'مرحبا، كيف يمكنني مساعدتك؟'”
Technical details
Endpoint
POSThttps://twin.unykorn.org/ai/language-detect?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, fast language and script identification from raw text, especially in agent pipelines that need to route, filter, or pre-process multilingual content before translation or localization steps. It is priced at $0.002 USDC per call, making it cost-effective for moderate-frequency use. Prefer it over a full NLP pipeline when you only need language/script metadata, not full linguistic analysis.
Side effects
- Empty or missing text input returns an error
- Very short text (single character or word) may yield low-confidence or ambiguous results
- Mixed-language text may return only the dominant language
- Rare or under-resourced languages may not be identified accurately
- Malformed request body without the required params.text field returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| params | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"type": "language-detect",
"receipt": {
"tx_hash": "0x<64hex>",
"amount_usd": 0.002,
"receipt_id": "g402-<16hex>"
},
"sources": [
{
"ok": true,
"name": "<source>"
}
],
"limitations": "<text>",
"generated_at": "<iso time>",
"evidence_hash": "sha256:<64hex>"
}
}Tags
x402
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