Automated Readability Index Calculator

x402

Automated Readability Index Calculator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-10).

Computes the Automated Readability Index (ARI) score for a given text to estimate its reading difficulty level

Price / call$0.002

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns a JSON object containing the computed readability result and a success status indicator. The ARI score is a numeric value corresponding to a US grade level (e.g., score of 8 ≈ 8th grade); higher scores indicate more complex text.

Example use cases

Blog post reading level check

“Here's the intro to my new blog post — can you run the Automated Readability Index on it so I know if it's pitched at the right reading level for a general adult audience? The text is: 'Many people struggle to manage their personal finances effectively. Simple habits, applied consistently, can lead to dramatic improvements over time.'”

Educational content difficulty audit

“I'm writing a science worksheet for middle schoolers. Can you score this text with the Automated Readability Index to see if it's at the right grade level? Text: 'Photosynthesis is the process by which plants convert sunlight, water, and carbon dioxide into glucose and oxygen.'”

Marketing copy complexity review

“Check the readability of this product description using the Automated Readability Index — I want to make sure it's accessible to a broad audience: 'Our proprietary formulation leverages synergistic bioactive compounds to optimize cellular regeneration and metabolic performance.'”

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/automated-readability-index?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a fast, cheap, single-call readability assessment using the established ARI formula. It is best suited for English-language content where you want a grade-level estimate without heavyweight NLP infrastructure. Prefer it over more complex readability suites when you only need the ARI metric specifically, and not Flesch-Kincaid, Gunning Fog, or SMOG simultaneously.

Side effects

Empty or missing text field returns an error or undefined result
Extremely short text (one word or one character) may produce unreliable or nonsensical ARI scores
Non-English text may yield inaccurate scores since ARI is calibrated for English
Very long texts may hit payload limits or timeout
Malformed JSON body returns a 400-level error

Input

Schema · Request body

Field	Type	Description
text	string

Output

Schema · Response

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

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