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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 2026-10-20).
Analyzes the proximity (closeness) of two specified keywords within a given text passage
Price / call$0.002
Success—
StatusUnknown
How this service works
Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.
Output
Returns a JSON object indicating the processing result and success status, including a 'result' field (e.g. 'processed') and a 'status' field (e.g. 'success'). The proximity computation outcome is embedded in the result value.
Example use cases
SEO keyword co-occurrence check
“I want to know how close the words 'AI' and 'revenue' appear to each other in this paragraph: 'Leveraging AI tools effectively can significantly boost your revenue without requiring a large team.'”
Content quality review for blog post
“Can you analyze how near the keywords 'side hustle' and 'automation' are in the following text: 'A well-designed side hustle powered by automation can generate consistent monthly returns with minimal daily effort.'”
Competitor content keyword spacing audit
“Check the proximity of the words 'freelance' and 'passive' in this sentence: 'Many freelance writers are now building passive income by repurposing their existing content into digital products.'”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/keyword-proximity-analyzer?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a lightweight, programmatic way to quantify how closely two specific keywords appear within a block of text — ideal for SEO content auditing, keyword density checks, or verifying that related terms appear near each other in generated content. Prefer this over full NLP pipelines when you only need proximity distance between two known terms without semantic embedding or full document parsing overhead.
Side effects
- Missing required fields (text, word_a, or word_b) result in a validation error
- One or both keywords not found in the provided text may return a null or zero proximity score
- Empty or extremely short text input may yield unreliable results
- Payment failure (x402) if USDC balance is insufficient will block the request
- Malformed JSON body returns a 400-level error
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"
}
}Tags
x402
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