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text-readability
x402
text-readability is a paid API for AI agents from x402.agentindex.world, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-27).
Computes readability metrics for a given text, including Flesch Reading Ease and Flesch-Kincaid Grade Level scores
Price / call$0.001
Success—
StatusUnknown
How this service works
Flesch Reading Ease and Flesch-Kincaid Grade Level scores for English text (standard public formulas, heuristic syllable counting).
Output
Returns a JSON object with word count, sentence count, syllable count, Flesch Reading Ease score (higher = easier), and Flesch-Kincaid Grade Level (school grade level equivalent).
Example use cases
Grade-level check for student content
“I'm writing educational material for 5th graders — can you analyze this paragraph and tell me the Flesch-Kincaid grade level so I know if it's appropriate? 'Photosynthesis is the process by which plants use sunlight to synthesize nutrients from carbon dioxide and water.'”
Readability audit for marketing copy
“Before I publish this landing page headline, can you run readability metrics on it? I want to make sure the Flesch Reading Ease is above 60: 'Unlock seamless, enterprise-grade cloud orchestration with our AI-powered DevOps platform.'”
Simplify check for legal disclaimers
“This legal disclaimer feels too complex — can you compute the readability scores for it so I know how hard it is to read? 'The indemnification obligations set forth herein shall survive the termination or expiration of this Agreement and shall be binding upon the successors and permitted assigns of each party.'”
Technical details
Endpoint
GEThttps://x402.agentindex.world/text/readability?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need fast, structured readability metrics (Flesch scores) for a snippet of text without setting up NLP libraries. Ideal for content QA pipelines, educational tools, and writing assistants that need a programmatic readability signal per call.
Side effects
- Missing or empty 'text' parameter returns an error
- Very short texts (single word) may produce extreme or negative grade scores
- Non-English text may yield inaccurate syllable counts and scores since the algorithm is designed for English
- Extremely long texts may increase latency
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"words": 11,
"sentences": 2,
"syllables": 12,
"flesch_reading_ease": 108.96,
"flesch_kincaid_grade": -0.57
}
}Tags
x402
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