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KiHustle Hapax Legomenon Counter
x402
KiHustle Hapax Legomenon Counter is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Counts hapax legomena (words that appear exactly once) in a given text input
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating the processing outcome and a 'status' field confirming success, along with the computed count or list of hapax legomena found in the submitted text.
Example use cases
Vocabulary richness analysis for writing
“I want to measure the lexical diversity of this essay draft — can you count all the words that appear exactly once in it? Here's the text: 'Automation transforms work, yet work remains central to human identity. Identity shapes ambition, and ambition drives innovation.'”
Linguistic research on corpus uniqueness
“I'm doing a linguistics study and need to know how many hapax legomena are in this sample corpus: 'She sells seashells by the seashore. The shells she sells are surely seashells.' Please count the words that occur only once.”
SEO or content deduplication check
“Can you analyze this blog post excerpt and tell me which words appear only a single time? I want to see how many hapax legomena it contains to understand keyword repetition patterns. Text: 'Digital income requires systems. Systems need automation. Automation saves time and time is money.'”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/hapax-legomenon-counterWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.002 USDC) computational analysis specifically identifying hapax legomena — words appearing exactly once — in a text. Prefer it for lightweight linguistics tasks, vocabulary richness scoring, or corpus analysis where a dedicated hapax counter is needed rather than a full NLP pipeline.
Side effects
- Empty or missing 'text' field returns an error or zero count
- Extremely large text inputs may time out or be truncated
- Non-UTF-8 or malformed text encoding may cause processing errors
- Ambiguous tokenization rules may affect word boundary detection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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