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OmniAPI Text Readability Analyzer
x402
OmniAPI Text Readability Analyzer is a paid API for AI agents from omni-api-cyan.vercel.app, paid per call via x402, $0.067179/call, status unknown (last checked 2026-09-15).
Analyzes the readability of a given text and returns readability scores and metrics
Price / call$0.067179
Success—
StatusUnknown
How this service works
444 endpoints across 9+ chains. Crypto, AI, Social, Finance, Weather, Tools. Pay per call in USDC via x402 with 4 facilitators: Dexter, Meridian, FluxA, GoPlausible.
Output
Returns a readability assessment of the submitted text, likely including standard readability scores (such as Flesch Reading Ease, Flesch-Kincaid Grade Level, or similar metrics), complexity indicators, and possibly recommendations. The exact response schema is generic but expected to surface numeric scores and qualitative assessments.
Example use cases
Blog post clarity check
“Run a readability check on this blog post intro and tell me if it's easy enough for a general audience to understand: 'Quantum entanglement represents a phenomenon wherein particles become intrinsically correlated regardless of spatial separation, defying classical mechanistic interpretations.'”
Student essay grade-level check
“Analyze the reading level of this essay paragraph for me — I need to know if it's written at an appropriate high school level: 'The Renaissance catalyzed a profound transformation in European intellectual culture, engendering a renewed emphasis on humanism and empirical inquiry.'”
Marketing copy simplification audit
“Check the readability score of my product description and tell me if it's too hard to read for everyday customers: 'Our proprietary nano-encapsulation technology facilitates unprecedented bioavailability enhancement of active pharmaceutical ingredients.'”
Technical details
Endpoint
POSThttps://omni-api-cyan.vercel.app/api/tools/text/readabilityWhen to prefer
Choose this endpoint when you need a quick, pay-per-call readability analysis without setting up a dedicated NLP pipeline. It is suitable for single-text evaluations where you want to assess reading complexity, grade level, or audience appropriateness. Prefer it over full NLP suites when you only need readability metrics and want to pay micro-amounts in USDC per call via x402.
Side effects
- Missing required 'query' field returns validation error
- Empty or very short text may return unreliable or null scores
- Non-English text may produce inaccurate readability metrics
- Extremely long text inputs may be truncated or rejected
- Payment failure via x402 returns 402 status before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | string | Input data for the endpoint |
| queryrequired | string | Search query or input text |
| params | object | Additional parameters |
Output
Schema · Response
{
"type": "object",
"description": "API response data"
}Tags
x402
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