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Coleman-Liau Readability Index Calculator
x402
Coleman-Liau 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 2026-10-20).
Computes the Coleman-Liau readability index score for a given text to estimate the US grade level required 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 containing the computed Coleman-Liau index value (a numerical grade level) and a success status. The index is a floating-point number representing the approximate US school grade level a reader would need to comfortably understand the input text.
Example use cases
Blog post grade-level check
“Run the Coleman-Liau index on this blog intro and tell me what grade level it targets: 'Side hustles powered by AI tools are no longer a niche trend — they are a mainstream path to financial independence for millions of solopreneurs.'”
Marketing copy readability audit
“I need to know the readability score of my landing page headline using the Coleman-Liau formula — here's the text: 'Unlock passive income streams with intelligent automation systems designed for modern digital entrepreneurs.'”
Educational content difficulty assessment
“Can you check the Coleman-Liau reading level of this course description so I know if it's appropriate for high schoolers: 'Students will explore foundational machine learning concepts, including supervised learning, neural networks, and real-world model deployment strategies.'”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/coleman-liau-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need the Coleman-Liau readability index — which is based on characters per word and sentences per word rather than syllables — making it more reliable for programmatic text analysis. Prefer it over Flesch-Kincaid or Gunning Fog endpoints when syllable counting is impractical or when you want a character-based grade-level formula. Best suited for short-to-medium text snippets in a single API call at very low cost ($0.002 USDC).
Side effects
- Empty or missing 'text' field returns an error or unexpected result
- Extremely short text (fewer than a few words) may produce unreliable or out-of-range scores
- Non-Latin or heavily punctuated text may skew character and word counts, reducing accuracy
- Network timeout or payment failure (x402) prevents the API call from completing
- Response schema is minimal and may not include detailed breakdown of letters/words/sentences used in the computation
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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