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 2026-10-21).

Calculates the Smog Index readability score for a given text input

Price / call$0.002

Seller volume →—

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 containing the Smog Index readability score and a processing status indicator. The result field contains the computed score reflecting the approximate US grade level required to understand the input text, and the status field confirms successful computation.

Example use cases

Blog post readability check

“Run a Smog Index calculation on this draft blog intro and tell me what reading grade level it targets: 'Artificial intelligence is transforming entrepreneurship by automating repetitive tasks, generating data-driven insights, and enabling solo operators to compete with established enterprises.'”

Educational content grade assessment

“I need to know the Smog Index readability grade for this course description so I can make sure it matches my target audience: 'Participants will examine foundational methodologies in algorithmic decision-making and develop competencies in applied machine learning frameworks.'”

Marketing copy complexity audit

“What's the Smog Index score for this product description? 'Our platform consolidates sophisticated analytical capabilities, enabling practitioners to orchestrate comprehensive digital revenue streams with unprecedented operational efficiency.'”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/smog-index-calculator?utm_source=zero.xyz

When to prefer

Choose this endpoint when you specifically need the Smog Index readability formula (Robert McLaughlin, 1969) rather than other readability metrics like Flesch-Kincaid or Gunning Fog. It is best suited for assessing medical, legal, or technical text complexity. At $0.002 per call it is cost-effective for single-document checks or light batch workflows where per-unit cost matters.

Side effects

Empty or missing text field returns error or unexpected result
Text too short for reliable Smog Index calculation (formula requires sufficient polysyllabic words)
Non-English text may produce inaccurate or meaningless scores
Malformed JSON request body causes processing failure
Very long texts may exceed input limits

Input

Schema · Request body

Field	Type	Description
text	string

Output

Schema · Response

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

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