KiHustle Keyword Proximity Analyzer

x402

KiHustle Keyword Proximity Analyzer 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).

Analyzes how close two specified words appear to each other within a given text body

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

A JSON object indicating a processed result with a success status, likely including a numeric or qualitative proximity score showing how closely the two specified words appear within the submitted text.

Example use cases

SEO keyword co-location check

“I have this product description — can you tell me how close the words 'organic' and 'supplement' are to each other in the text? I want to make sure they're mentioned near each other for SEO purposes.”

Content audit for thematic coherence

“In this paragraph from my article, analyze how close the words 'passive' and 'income' appear to each other — I want to verify the theme is tight and those concepts are being discussed together.”

Plagiarism pattern detection

“Take this excerpt and check the proximity between the words 'machine learning' and 'model' — I'm trying to see if they cluster together the way they do in a source document I'm comparing against.”

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/keyword-proximity-analyzer

When to prefer

Choose this endpoint when you need a lightweight, low-cost computation to determine how closely two specific terms appear within a text body — useful for SEO audits, content coherence checks, keyword density analysis, or thematic relevance validation. Prefer this over full NLP pipelines when you only need proximity between exactly two words without broader semantic analysis.

Side effects

Missing required fields (text, word_a, or word_b) may return an error or incomplete result
One or both words not found in the text may return a null or maximum distance value
Very long text inputs may cause processing delays or truncation
Ambiguous or multi-word terms in word_a/word_b may not match as expected
Empty text string may return a default processed response without meaningful proximity data

Input

Schema · Request body

Field	Type	Description
text	string
word_a	string
word_b	string

Output

Schema · Response

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

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How this service works

Output

Example use cases

SEO keyword co-location check

Content audit for thematic coherence

Plagiarism pattern detection

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/keyword-proximity-analyzer

When to prefer

Side effects

Missing required fields (text, word_a, or word_b) may return an error or incomplete result
One or both words not found in the text may return a null or maximum distance value
Very long text inputs may cause processing delays or truncation
Ambiguous or multi-word terms in word_a/word_b may not match as expected
Empty text string may return a default processed response without meaningful proximity data

Input

Schema · Request body

Field	Type	Description
text	string
word_a	string
word_b	string

Output

Schema · Response

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