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Tanod utilpeek Language Detection
x402
Tanod utilpeek Language Detection is a paid API for AI agents from tanod.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-11).
Detects the language of a given text passage from 75 supported languages, running fully offline.
Price / call$0.001
Success—
StatusUnknown
How this service works
Pay-per-call APIs and MCP servers for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.
Output
Returns the detected language of the input text, typically including the language name, its BCP-47 or ISO 639 code, and a confidence score. The detection covers 75 languages and runs fully offline with no external network calls.
Example use cases
Route multilingual support tickets
“Can you detect the language of this incoming support message so I know which team to send it to: 'Necesito ayuda con mi pedido, no ha llegado todavía.'”
Filter non-English user submissions
“I'm getting user-submitted comments and need to know which ones aren't in English — can you check this one: 'Das Produkt ist wirklich ausgezeichnet, ich bin sehr zufrieden.'”
Pre-screen content before translation
“Before I send this paragraph to a translator, can you tell me what language it's in? Here's the text: 'これは非常に興味深い記事で、多くのことを学びました。'”
Technical details
Endpoint
POSThttps://tanod.dev/v1/text/language?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline language detection across a wide set of 75 languages without relying on a cloud NLP provider. It is ideal for privacy-sensitive pipelines, edge deployments, or pay-per-call cost-controlled scenarios. Prefer it over general-purpose NLP APIs when you only need language ID (not translation or sentiment) and want deterministic pricing at $0.001 per call.
Side effects
- Empty or whitespace-only text returns an error (minLength:1 enforced)
- Text exceeding 20,000 characters is rejected
- Very short or ambiguous text may yield low-confidence or incorrect language detection
- Mixed-language text may return only the dominant language
- Rare or unsupported languages (outside the 75 supported) may be misclassified
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | The text (at most 20,000 characters). |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "confidence is the mean of two detectors' scores; below 0.6, or under 20 letters, the answer is flagged unreliable",
"source": {
"url": "https://github.com/pemistahl/lingua-py ; https://github.com/saffsd/langid.py",
"library": "lingua-language-detector 2.1.1 (low-accuracy mode) + langid.py 1.1.6",
"license": "Apache-2.0 / BSD-2-Clause"
},
"letters": 56,
"language": {
"code": "fr",
"name": "French",
"iso639_3": "fra",
"confidence": 1
},
"reliable": true,
"alternatives": [
{
"code": "en",
"name": "English",
"iso639_3": "eng",
"confidence": 0
},
{
"code": "cy",
"name": "Welsh",
"iso639_3": "cym",
"confidence": 0
},
{
"code": "nl",
"name": "Dutch",
"iso639_3": "nld",
"confidence": 0
}
],
"chars_analyzed": 68,
"languages_supported": 75
}
}Tags
x402
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