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Forgemesh Language Identifier
x402
Forgemesh Language Identifier is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Detects the language of input text and returns the identified language with a confidence score and runner-up candidates.
Price / call$0.002
Success—
StatusUnknown
How this service works
Determines the language of any input text with a confidence score and runner-up candidates, useful when a short snippet is ambiguous between closely related languages. For content routing, translation triage, and multilingual pipelines that need a fast, deterministic language call instead of an LLM guess.
Output
Returns the detected language (name and/or BCP-47 code), a confidence score for the top result, and one or more runner-up language candidates for ambiguous cases — useful for routing or triage decisions.
Example use cases
Example prompt
“Can you figure out what language this text is written in and give me a confidence score? Here's the snippet: 'Bonjour, comment ça va aujourd'hui?'”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/language-identifierWhen to prefer
Use this endpoint when you need a fast, deterministic language identification with a confidence score rather than an LLM guess — especially for multilingual pipelines, content routing, and translation triage where short or ambiguous text snippets need a reliable language call. Prefer this over general-purpose LLMs when cost predictability and consistency matter at scale.
Side effects
- Text exceeds 10,000 character limit — input truncated or rejected
- Text is too short or contains only numbers/symbols — low confidence or inconclusive result
- Ambiguous closely-related language pairs (e.g. Malay vs Indonesian) may return low confidence scores
- Empty text field returns an error
- Payment failure or insufficient USDC balance blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | text to analyze, up to 10k chars |
Output
Schema · Response
{
"type": "json",
"example": {
"detected": "fr",
"candidates": [
{
"language": "fr",
"confidence": 0.98
}
]
}
}Tags
x402
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