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KiHustle Readability Fog Index Calculator
x402
KiHustle Readability Fog Index Calculator 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 Gunning Fog Index readability score for a given text, indicating how many years of education are needed to understand it.
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 with a 'result' field containing the computed Gunning Fog Index score and a 'status' field indicating success or failure of the computation.
Example use cases
Blog post readability check
“I just wrote this intro for my blog post about AI side hustles — can you calculate the Fog Index to see if it's too complex for a general audience? Here's the text: 'Leveraging automated machine learning pipelines, entrepreneurs can systematically monetize digital assets through scalable, algorithm-driven revenue streams.'”
Student essay complexity audit
“Can you run the Gunning Fog Index on this essay paragraph so I can tell if the writing level is appropriate for a high-school audience? The text is: 'The proliferation of microprocessor technologies has fundamentally altered contemporary socioeconomic paradigms, necessitating adaptive pedagogical frameworks.'”
Marketing copy readability test
“I want to know the readability fog score for this product description to make sure it's not too hard to read: 'Our platform seamlessly integrates cross-functional data orchestration with proprietary algorithmic workflows to maximize user engagement and retention metrics.'”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/readability-fog-indexWhen to prefer
Use this endpoint when you need a quick, inexpensive automated readability assessment via the Gunning Fog Index metric specifically — ideal for content workflows, writing assistance tools, or educational apps that need to flag overly complex text. Prefer this over general NLP APIs when you specifically need the Fog Index rather than other readability metrics like Flesch-Kincaid or SMOG.
Side effects
- Empty or missing 'text' field returns an error or unexpected result
- Extremely short text (fewer than 2 sentences) may produce unreliable fog index scores
- Non-English text may yield inaccurate readability scores since the Fog Index is calibrated for English
- Very large text bodies may time out or be rejected
- Malformed JSON input returns a 4xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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