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KiHustle Smog Index Calculator
x402
KiHustle Smog Index Calculator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Calculates the Smog Index (reading difficulty/grade level) of a given text passage
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a result field indicating the Smog Index computation outcome and a status field confirming success. The Smog Index is a readability formula estimating the years of education needed to understand a piece of writing.
Example use cases
Blog post readability check
“Here's the draft of my blog post — can you run it through the Smog Index calculator to see what reading grade level it's at? I want to make sure it's accessible to a general audience.”
Academic paper complexity audit
“I need to check how complex this abstract is before submitting it — can you calculate the Smog Index on this text: 'Neuroplasticity-driven interventions demonstrate efficacy in ameliorating cognitive deficits associated with neurodegenerative pathologies...'?”
Content simplification targeting
“I have two versions of this explainer paragraph — can you get the Smog Index score for each so I can see which one is easier to read? Here's version one: 'Kids learn fast when they play games.' And version two: 'Pedagogical engagement through ludic methodologies accelerates juvenile cognitive acquisition.'”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/smog-index-calculator?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, affordable readability score specifically using the Smog Index formula — ideal for content creators, educators, or marketers who want to gauge text complexity. Prefer this over general-purpose NLP APIs when you specifically need grade-level readability metrics rather than sentiment, classification, or summarization.
Side effects
- Empty or missing text field returns an error
- Text too short for reliable Smog Index calculation (requires polysyllabic word sampling)
- Non-text or binary input causes processing failure
- Very long text may time out or return partial results
- Non-English text may produce inaccurate or meaningless scores
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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