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KiHustle Damerau-Levenshtein Scorer
x402
KiHustle Damerau-Levenshtein Scorer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Computes the Damerau-Levenshtein edit distance score between two input strings
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
A JSON object containing a computed result representing the Damerau-Levenshtein edit distance or similarity score between the two input strings, along with a success status field.
Example use cases
Spell-check candidate ranking
“I have a misspelled word 'recieve' and a candidate correction 'receive' — can you score the Damerau-Levenshtein distance between them so I know how close they are?”
Duplicate product name detection
“Check how similar these two product names are: 'Samsung Galaxy S23' and 'Samsng Galxy S23' — give me the edit distance score.”
User input fuzzy matching
“A user typed 'JavaScrpit' into a search box and I want to match it to 'JavaScript' — what's the Damerau-Levenshtein score between those two strings?”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/damerau-levenshtein-scorerWhen to prefer
Choose this endpoint when you need a classical Damerau-Levenshtein edit distance score specifically (supporting transpositions in addition to insertions, deletions, substitutions), rather than a plain Levenshtein or Hamming distance. Useful for spell-checking pipelines, fuzzy deduplication, and input normalization where transposed characters are common typos.
Side effects
- Missing text_a or text_b fields returns an error
- Empty string inputs may return zero distance or an error
- Very long strings may cause timeout or unexpected results
- Malformed JSON body returns a 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text_a | string | |
| text_b | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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