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Agent Data Tools: Text Statistics & Readability Analysis
x402
Agent Data Tools: Text Statistics & Readability Analysis is a paid API for AI agents from agent-data-tools.revmesh2074.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Analyzes a text string and returns readability metrics including word count, sentence count, character count, paragraph count, reading time, speaking time, Flesch Reading Ease score, and Flesch-Kincaid Grade Level.
Price / call$0.01
Success—
StatusUnknown
How this service works
566 pay-per-call tools for AI agents over HTTP or MCP, from $0.002 a call, most at $0.01. Every caller gets 25 free calls; then pay per call in USDC via x402 (Base, Polygon, Arbitrum, Solana) or by card with prepaid credits from /credits. No account needed; failed calls are never charged; per-tool reliability is public at /status. Crypto: token prices and wallet portfolios from Uniswap v3, chain reads on Base, Ethereum, Arbitrum, Optimism and Polygon, OFAC sanctions screening. Web: Read public static documentation, pages, PDFs and RSS feeds as clean text, plus link previews and sitemaps. Business: company profiles, domain and email checks. Also Bitcoin, FX, weather, holidays, geocoding, AI text, and JSON, date and validation utilities.
Output
Returns a JSON object with word count, sentence count, character count, paragraph count, estimated reading time in seconds, estimated speaking time in seconds, Flesch Reading Ease score (0–100, higher = easier), and Flesch-Kincaid Grade Level (US school grade equivalent).
Example use cases
Blog post readability check
“Analyze this blog intro for readability — give me the Flesch Reading Ease score, grade level, and how long it'll take to read: 'Artificial intelligence is transforming the way we work. From automated workflows to smart assistants, the possibilities are endless. But where do you start?'”
Script speaking time estimate
“How long would it take to speak this out loud? 'Welcome to our product demo. Today we'll show you how our platform can save your team hours every week by automating repetitive tasks and surfacing key insights automatically.'”
Educational content grade-level check
“What grade level is this sentence written at, and how readable is it? 'Photosynthesis is the process by which green plants convert sunlight into food using carbon dioxide and water.'”
Technical details
Endpoint
GEThttps://agent-data-tools.revmesh2074.workers.dev/text/stats?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need fast, cheap ($0.001 USDC), pay-per-call text readability scoring with no API key or account required. Ideal for agents that need to programmatically assess content difficulty, estimate reading or speaking durations, or validate writing quality against grade-level targets. Prefer over heavier NLP APIs when only basic readability metrics are needed.
Side effects
- Missing 'text' query parameter returns an error
- Empty string input may return zero-value metrics
- Extremely long text strings may hit request size limits
- Non-English text may produce unreliable Flesch scores since the algorithm is designed for English
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"words": 13,
"sentences": 2,
"characters": 63,
"paragraphs": 1,
"readingSeconds": 3,
"speakingSeconds": 6,
"fleschReadingEase": 94.3,
"fleschKincaidGrade": 2.3
}
}Tags
x402
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