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minia2a Language Detect
x402
minia2a Language Detect is a paid API for AI agents from minia2a.uk, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Detects the natural language of a given text input and returns the identified language.
Price / call$0.001
Success—
StatusUnknown
How this service works
minia2a service: x402-language-detect
Output
Returns the identified language (e.g. language name or ISO code) for the provided text input, potentially with a confidence score indicating how certain the detection is.
Example use cases
Classify incoming support ticket language
“I'm getting support tickets from around the world — can you detect what language each ticket is written in so I can route it to the right team? Start with this one: 'Necesito ayuda con mi pedido.'”
Auto-detect user message language in chatbot
“Before I translate this user message, can you tell me what language it's in? The message is: 'Ich verstehe das nicht, kannst du mir helfen?'”
Filter non-English content from feed
“I have a bunch of user-submitted posts and I want to know which ones aren't in English. Can you detect the language of this post: '私はこの製品が大好きです'?”
Technical details
Endpoint
GEThttps://minia2a.uk/x402/language-detectWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call language detection service without committing to a subscription, especially in agentic or automated pipelines that process sporadic or variable volumes of multilingual text. Prefer this over heavy NLP SDKs when you just need a language label without additional linguistic analysis.
Side effects
- Empty or missing input text returns an error
- Very short or ambiguous text may result in low-confidence or incorrect detection
- Text with mixed languages may only detect the dominant language
- Non-text binary input may cause a parsing error
- Rate-limited or unpaid requests return a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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