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CoCo Language Detection API
x402
CoCo Language Detection API is a paid API for AI agents from cocoeatsai.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
Detects the natural language of a given text string and returns the identified language code with confidence score
Price / call$0.001
Success—
StatusUnknown
How this service works
Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.
Output
Returns a JSON object containing the detected language code (e.g. 'en' for English), a confidence score between 0 and 1, and an array of candidate languages each with a probability score. Example: {"language":"en","candidates":[{"p":1,"lang":"en"}],"confidence":1}
Example use cases
Auto-route multilingual support tickets
“Before we respond to this support message, can you figure out what language it's written in so we can route it to the right team? The message is: 'Por favor, necesito ayuda con mi cuenta.'”
Validate user input language
“A user just submitted this form response — can you check what language it's in and tell me the confidence level? The text is: 'Diese Funktion funktioniert überhaupt nicht.'”
Language-gate content pipeline
“I need to know if this article excerpt is written in English before we process it further — can you detect the language? The text is: '今日は素晴らしい天気ですね。'”
Technical details
Endpoint
GEThttps://cocoeatsai.com/area4/agent/tools/language?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need lightweight, fast language detection on a text snippet and want a simple JSON response with a language code and confidence score. It is ideal for pre-processing pipelines, routing decisions, or validating user input language before forwarding to a translation or localization service. Prefer it for single-text, low-latency detection calls where the $0.001 per-call pricing is acceptable.
Side effects
- Empty or missing text query parameter returns an error or undefined behavior
- Very short text (single character or word) may yield low confidence or incorrect detection
- Highly mixed-language text may produce ambiguous results with split confidence across candidates
- Extremely rare or constructed languages may not be recognized
- Request timeout if upstream service is unavailable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"language": "en",
"candidates": [
{
"p": 1,
"lang": "en"
}
],
"confidence": 1
},
"exampleNote": "Computed offline with demonstration inputs; time/random values are illustrative."
}Tags
x402
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