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24K Labs Readability Score API
x402
24K Labs Readability Score API is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Analyzes text and returns word/sentence/syllable counts, reading time, and multiple readability grade-level scores (Flesch, Flesch-Kincaid, Gunning Fog, SMOG, ARI, Coleman-Liau) in a single call.
Price / call$0.002
Success—
StatusUnknown
How this service works
Word/sentence/syllable counts, reading time, plus Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, SMOG, ARI, and Coleman-Liau grade levels in one call.
Output
Returns a JSON object containing word count, sentence count, syllable count, estimated reading time, Flesch Reading Ease score, Flesch-Kincaid grade level, Gunning Fog index, SMOG index, ARI (Automated Readability Index), and Coleman-Liau index — all computed in a single API call from the submitted text.
Example use cases
Blog post complexity check
“I just wrote this blog post intro — can you run a readability analysis on it and tell me the Flesch Reading Ease score and estimated reading time? I want to make sure it's accessible to a general audience.”
Legal document grade-level audit
“This is a terms-of-service document. Can you compute all the readability grade levels for it — Flesch-Kincaid, SMOG, Coleman-Liau, and the rest — so I know roughly what education level a reader needs to understand it?”
Healthcare content simplification
“I need to check if this patient instructions text is written at an appropriate reading level. Can you get the SMOG score and ARI for it, along with word and sentence counts?”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/readability-scoreWhen to prefer
Choose this endpoint when you need multiple standard readability metrics computed simultaneously in one call rather than calling separate services. Ideal for content pipelines, writing assistants, educational tools, compliance checks, or any workflow that needs to assess text complexity at scale with a predictable per-call cost of $0.002 USDC.
Side effects
- Empty or missing text body returns an error
- Extremely short text (single word) may yield unreliable or undefined grade-level scores
- Very large text payloads may exceed request size limits
- Non-English text may produce inaccurate syllable counts and readability scores since formulas are calibrated for English
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"words": 17,
"flesch_reading_ease": 90
}
}Tags
x402
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