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SiteCheck Text Readability Analyzer
x402
SiteCheck Text Readability Analyzer is a paid API for AI agents from api.sitecheck-api.workers.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-16).
Analyzes text and returns multiple readability scores (Flesch, Gunning Fog, SMOG, Coleman-Liau, ARI, Flesch-Kincaid) plus word/sentence/syllable counts and estimated reading/speaking times.
Price / call$0.001
Success—
StatusUnknown
How this service works
Readability of a text in pure code: Flesch Reading Ease, Flesch-Kincaid grade, Gunning Fog, SMOG, Coleman-Liau and ARI, with counts of characters, words, sentences, syllables and complex words, and reading and speaking time. English formulas; other languages get counts only. Syllables are counted by a vowel-group heuristic, so scores are estimates. Up to 100 KB.
Output
Returns a JSON object with: word, sentence, syllable, character, and complex-word counts; six readability scores (Flesch Reading Ease, Flesch-Kincaid Grade, Gunning Fog, SMOG, Coleman-Liau, Automated Readability Index — SMOG requires at least 3 sentences); estimated reading and speaking time in minutes; detected or specified language; and a timestamp. For non-English languages, only counts and times are returned.
Example use cases
Blog post readability check before publishing
“Before I publish this blog post, can you run a readability analysis on it and tell me the Flesch-Kincaid grade level and Flesch Reading Ease score? The text is: 'Eating a balanced diet is essential for maintaining good health. By incorporating a variety of fruits, vegetables, lean proteins, and whole grains into your daily meals, you can significantly reduce the risk of chronic diseases.'”
Legal document complexity assessment
“I need to know if this legal disclaimer is too complex for a general audience — can you score its readability using Gunning Fog and Coleman-Liau, and tell me roughly how long it would take someone to read it aloud? Text: 'The indemnifying party shall defend, indemnify, and hold harmless the indemnified party from and against any and all claims, damages, losses, costs, and expenses arising out of or relating to any breach of this agreement.'”
Student essay grade-level evaluation
“Can you analyze the grade level of this student essay excerpt and give me the SMOG score, Flesch-Kincaid grade, and word count? The text is: 'Photosynthesis is the process by which green plants convert sunlight into food using carbon dioxide and water, producing oxygen as a byproduct.'”
Technical details
Endpoint
POSThttps://api.sitecheck-api.workers.dev/api/text/readability?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need multiple standardized readability metrics computed locally (pure code, no external LLM) for a given text — especially when you want Flesch, Gunning Fog, SMOG, Coleman-Liau, and ARI scores together in a single call. Prefer it over LLM-based readability judgments for reproducibility and cost-efficiency. Ideal for content teams, educators, compliance checks, and any pipeline that needs quantitative reading-level signals on demand.
Side effects
- Text exceeds 100 KB limit — request rejected
- SMOG score returns null if fewer than 3 sentences are provided
- Non-English language code returns only counts and times, no formula-based scores
- Empty or missing 'text' field results in an error response
- Malformed JSON body causes a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | The text, up to 100 KB (JSON body field) |
| language | string | en (default: all formulas); other codes return counts and times only |
Output
Schema · Response
{
"type": "json",
"example": {
"counts": {
"words": 18,
"sentences": 2,
"syllables": 20,
"characters": 67,
"complexWords": 0
},
"scores": {
"smog": null,
"gunningFog": 3.6,
"colemanLiau": 1.82,
"fleschReadingEase": 103.7,
"fleschKincaidGrade": 1.03,
"automatedReadability": -0.18
},
"source": "Computed here (pure code): Flesch, Flesch-Kincaid, Gunning Fog, SMOG (needs 3 sentences), Coleman-Liau, ARI",
"language": "en",
"checkedAt": "2026-10-15T13:48:02.034Z",
"readingMinutes": 0.08,
"speakingMinutes": 0.12
}
}Tags
x402
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