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Readability Score Checker
x402
Readability Score Checker is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Computes Flesch reading-ease score, average sentence length, estimated reading time, and basic text statistics (character, word, sentence counts) for a block of text.
Price / call$0.001
Success—
StatusUnknown
How this service works
Computes a Flesch reading-ease score, average sentence length, and estimated reading time for any block of text, alongside character, word, and sentence counts. For content QA gates, editorial tooling, and agents that need to confirm text hits a target readability level before publishing.
Output
Returns a Flesch reading-ease score (numeric), average sentence length, estimated reading time, and counts of characters, words, and sentences for the submitted text.
Example use cases
Example prompt
“Check the readability of this paragraph for me — I need the Flesch reading-ease score, estimated reading time, and sentence stats to make sure it's accessible before we publish: 'Good writing is clear and direct. Short sentences help readers follow along. Avoid jargon wherever possible.'”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/readability-score-checkerWhen to prefer
Use this endpoint when you need quantitative readability metrics — especially the Flesch reading-ease score and reading time — for content QA gates, editorial workflows, or publishing automation that requires text to meet a minimum readability threshold before going live.
Side effects
- Empty or missing 'text' field returns an error
- Extremely short text (single word or no sentences) may yield unreliable or zero-value metrics
- Very large text payloads may exceed request size limits
- Non-English text may produce inaccurate Flesch scores since the formula is calibrated for English
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"words": 13,
"sentences": 2,
"flesch_reading_ease": 97,
"estimated_llm_tokens": 16
}
}Tags
x402
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