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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 2026-10-21).
Computes the Coleman-Liau readability index score for a given text, indicating the U.S. grade level needed to comprehend 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, representing the approximate U.S. school grade level required to understand the input text. Higher scores indicate more complex text.
Example use cases
Blog post grade level check
“I just wrote this article intro — can you run it through the Coleman-Liau index to see what grade level it's written at? 'Side hustles are a practical way to diversify income streams and reduce financial risk in uncertain economic times.'”
Academic writing complexity audit
“Check the readability of this abstract using the Coleman-Liau formula: 'This study examines the multifaceted socioeconomic determinants of technological adoption in emerging markets, utilizing longitudinal panel data across seventeen developing nations.'”
Marketing copy simplification check
“We need our landing page copy to be readable at roughly a 6th-grade level — can you score this paragraph with the Coleman-Liau index so I know if it needs simplifying? 'Our platform leverages cutting-edge algorithmic automation to facilitate seamless revenue optimization.'”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/coleman-liau-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you specifically need the Coleman-Liau readability metric, which is based on characters-per-word and sentences-per-word (making it suitable for programmatic text analysis without syllable counting). Prefer it over Flesch-Kincaid or Gunning Fog when character-based measurement is sufficient or when working with text where syllable detection is unreliable.
Side effects
- Empty or missing 'text' field returns an error response
- Extremely short texts (fewer than a few words) may produce unreliable or edge-case scores
- Non-English text may yield inaccurate grade-level estimates since the formula is calibrated for English
- Malformed JSON request body may result in a 400-level 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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