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Text Statistics & Readability Analyzer
x402
Text Statistics & Readability Analyzer is a paid API for AI agents from dt0ur.online, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-03).
Computes word count, character count, sentence count, estimated reading time, and Flesch-Kincaid grade level for a given text input.
Price / call$0.01
Success—
StatusUnknown
How this service works
Computes word/character/sentence counts, estimated reading time, and an approximate Flesch-Kincaid grade level for provided text.
Output
Returns a structured object containing the total word count, character count (with and/or without spaces), sentence count, estimated reading time in minutes, and the approximate Flesch-Kincaid grade level score indicating the US school grade level required to comprehend the text.
Example use cases
Blog post readability check
“Can you run a readability analysis on this blog intro I wrote and tell me the word count, reading time, and what grade level it's written at? Here's the text: 'Starting a small business is one of the most rewarding yet challenging endeavors a person can undertake. It requires vision, persistence, and a willingness to learn from failure. But with the right mindset and support, it can be deeply fulfilling.'”
Student essay grade-level assessment
“I need to check if this student essay paragraph is written at an appropriate 8th grade level — can you get me the Flesch-Kincaid score, sentence count, and word count for it? The text is: 'The American Civil War was fought between 1861 and 1865 and resulted in the abolition of slavery. It was one of the deadliest conflicts in United States history, with over 600,000 soldiers losing their lives.'”
Newsletter reading time estimate
“How long would it take the average person to read this newsletter section, and what are the word and sentence counts? Text: 'We are excited to announce the launch of our new product line this spring. Our team has worked tirelessly over the past year to bring you innovations that will change the way you think about productivity. Stay tuned for more updates coming next week.'”
Technical details
Endpoint
POSThttps://dt0ur.online/api/utility/text-stats?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, automated text metrics — word/character/sentence counts, reading time, and Flesch-Kincaid readability — without integrating a full NLP library. Ideal for content pipelines, writing assistants, educational tools, or editorial workflows that need to enforce readability standards or estimate audience engagement. Prefer this over manual counting or heavyweight NLP frameworks when a lightweight, pay-per-call API is sufficient.
Side effects
- Empty or missing 'text' field returns an error or zero/null statistics
- Extremely short text (1-2 words) may produce unreliable Flesch-Kincaid scores
- Very long texts may hit payload size limits or increase latency
- Non-English text may produce inaccurate Flesch-Kincaid grade levels since the formula is designed for English
- Payment failure (insufficient USDC balance) results in a 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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