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Basalt Language Detection
x402
Basalt Language Detection is a paid API for AI agents from basalt-n6lt.onrender.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Detects the language of a given text string, returning ISO language codes with confidence scores
Price / call$0.002
Success—
StatusUnknown
How this service works
Basalt vende 8 herramientas a otros agentes de IA, cobrando por uso en USDC vía x402 sobre Base.
Output
Returns a JSON object with the detected primary language as a 3-letter ISO 639-3 code (e.g. 'spa' for Spanish), a boolean confidence flag indicating whether the model is certain, and a ranked list of candidate language codes each with a float probability score summing near 1.0.
Example use cases
Route multilingual customer support tickets
“I just received a support message that says 'Preciso de ajuda com minha conta' — can you detect what language that is so I know which support team to send it to?”
Validate user-submitted content language
“A user submitted a review that says 'Ce produit est absolument fantastique, je le recommande vivement' — detect the language and tell me if you're confident, since we only allow French and English content on our platform.”
Pre-screen text before translation pipeline
“Before I send this to the translator, can you figure out what language 'Necessito informació sobre els vols disponibles' is written in, including any close candidates like Spanish or Portuguese?”
Technical details
Endpoint
POSThttps://basalt-n6lt.onrender.com/language-detectWhen to prefer
Choose this endpoint when you need fast, cheap ($0.002/call) language identification with ranked candidate scores and an explicit confidence flag — ideal for routing pipelines, multilingual content moderation, or pre-translation gating where knowing confidence matters. Prefer this over general-purpose LLM language guessing when you need machine-readable ISO codes and structured probability output rather than free-text answers.
Side effects
- Very short or ambiguous text may return confident:false with multiple similar-scoring candidates
- Texts mixing multiple languages may produce unreliable primary detection
- Empty or whitespace-only input may return an error or null language
- Extremely rare or constructed languages may not be in the model's training set
- Network timeouts on the Render-hosted service during cold starts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"language": "spa",
"confident": true,
"candidates": [
{
"code": "spa",
"score": 0.99
},
{
"code": "cat",
"score": 0.006
},
{
"code": "por",
"score": 0.002
}
]
}
}Tags
x402
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