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KiHustle Levenshtein Distance API
x402
KiHustle Levenshtein Distance API 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).
Computes the Levenshtein (edit) distance between two input strings
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object containing the computed Levenshtein (edit) distance — the minimum number of single-character insertions, deletions, or substitutions required to transform text_a into text_b — 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 calculate the edit distance between them so I can rank correction candidates?”
Duplicate record deduplication
“I have two customer name strings 'Jonathan Smith' and 'Jonathon Smyth' — can you compute the Levenshtein distance to help me decide if they're likely the same person?”
Password similarity validation
“Can you check the edit distance between 'OldPass123' and 'OldPass124' to see if a user's new password is too similar to their old one?”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/levenshtein-distanceWhen to prefer
Choose this endpoint when you need a simple, pay-per-call Levenshtein distance computation without setting up a local library or compute environment. It is ideal for lightweight agents performing fuzzy matching, deduplication, or spell-check ranking where infrastructure overhead should be minimal.
Side effects
- Missing text_a or text_b fields returns an error
- Non-string input types may cause processing failure
- Very long strings may cause timeout or unexpected behavior
- Empty string inputs may return distance equal to length of the other string
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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