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Busker Language ID
x402
Busker Language ID is a paid API for AI agents from workbot1.oddsys.org, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-11).
Identifies the natural language of a text snippet from 180+ languages, returning ISO 639-3/639-1 codes, English name, ranked candidates, and confidence margin.
Price / call$0.001
Success—
StatusUnknown
How this service works
Language identification for 180+ languages (every language with ≥1M speakers): ISO 639-3 code, ISO 639-1 code and English name, with ranked candidates and a confidence margin. Single text or batches up to 100.
Output
Returns ranked language candidates (up to 10), each with ISO 639-3 code, ISO 639-1 code, English language name, and a confidence margin indicating how certain the model is. For batch requests, results are returned per-text in the same order as input.
Example use cases
Route multilingual support tickets
“I have a batch of up to 50 customer support messages and I need to know what language each one is in before routing them to the right team — can you identify the language for all of them at once and return the top 2 candidates per message?”
Detect language before translation
“Before I send this paragraph to the translation service, can you tell me what language it's written in? Here it is: 'Das Wetter heute ist wunderschön und die Sonne scheint hell.'”
Disambiguate between specific languages
“I only care whether this text is Spanish, Portuguese, or Galician — can you restrict the detection to just those three languages and tell me which is most likely with a confidence score? The text is: 'A lingua é a alma dun pobo e o reflexo da súa cultura.'”
Technical details
Endpoint
POSThttps://workbot1.oddsys.org/lang?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, cheap ($0.001/call) language identification across a broad set of 180+ languages with standardized ISO 639-3 and ISO 639-1 codes and ranked confidence scores. It supports batching up to 100 texts per call, making it efficient for bulk processing. Prefer it over generic LLM-based detection when you need deterministic structured output, consistent code formats, and the ability to restrict candidates to a known language subset.
Side effects
- Text shorter than 10 characters is rejected as insufficient for reliable detection
- Ambiguous or mixed-language text may yield low-confidence results with several near-equal candidates
- Very rare languages below 1M speakers may not be recognized or may be misclassified as a related language
- Invalid ISO 639-3 codes in the 'only' filter will cause validation errors
- Batch exceeding 100 texts will be rejected
- Empty text or whitespace-only input will fail validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| top | integer | Number of ranked candidates to return (1-10, default 3). |
| only | array | Restrict to these ISO 639-3 codes (e.g. ["eng","deu","fra"]). |
| text | string | Text to identify (≥10 characters). |
| texts | array | Batch of texts. |
Tags
x402
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