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 2026-10-10).

Computes the Levenshtein edit distance between two input strings

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a JSON object containing the computed Levenshtein edit distance (integer number of single-character insertions, deletions, or substitutions) between the two provided strings, along with a success status indicator.

Example use cases

Spell-check candidate ranking

“I have a misspelled word 'recieve' and a candidate correction 'receive' — can you compute the Levenshtein distance between them so I know how close the correction is?”

Deduplication of product names

“Check how different 'Apple iPhone 14 Pro' and 'Apple iPhone 14 Pro Max' are by calculating their edit distance — I'm trying to deduplicate my product catalog.”

User input fuzzy matching

“A user typed 'Amsterdem' in a city search box — what's the Levenshtein distance between that and 'Amsterdam' so I can decide whether to auto-correct it?”

Technical details

Endpoint

POSThttps://kihustle.tech/nexus/api/v1/levenshtein-distance?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, pay-per-call Levenshtein distance computation without setting up your own string-distance library — ideal for agents doing one-off comparisons, spell-check validation, fuzzy deduplication, or NLP preprocessing where a full similarity service is overkill.

Side effects

Missing text_a or text_b fields returns an error
Extremely long strings may cause slow response or timeout
Non-string input types may be rejected or cause unexpected results
Empty string inputs may return a distance equal to the length of the other string rather than an error

Input

Schema · Request body

Field	Type	Description
text_a	string
text_b	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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