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Vextorium Text Statistics API
x402
Vextorium Text Statistics API is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-28).
Computes detailed text statistics (character/word/sentence counts, readability scores, reading time, frequent words) for English and Spanish text without AI.
Price / call$0.003
Success—
StatusUnknown
How this service works
244 pay-per-call data APIs for AI agents: official statistics and economy (ECB, Fed, Eurostat, World Bank, SEC, BOE, INE), crypto prices and sentiment, Spanish public data, compliance (sanctions, VAT, IBAN, LEI), science, weather, web and developer tools and local AI text tools. Pay in USDC via x402.
Output
A JSON object containing: character count (with and without spaces), word count, sentence count, paragraph count, unique word count, syllable count, reading time in minutes, speaking time in minutes, average words per sentence, a readability object (Flesch or Fernandez-Huerta score, grade label, level description, and Flesch-Kincaid grade for English), a list of the most frequent words with occurrence counts, whether emojis are present, and the estimated language.
Example use cases
Blog post readability check
“I just wrote this article intro and want to know if it's easy enough to read — can you give me the Flesch reading ease score, grade level, word count, estimated reading time, and the top 10 most frequent words? Here's the text: 'Content marketing is the art of communicating with your customers and prospects without selling. It is non-interruption marketing. Instead of pitching your products or services, you are delivering information that makes your buyer more intelligent.'”
Spanish text complexity analysis
“Can you run text stats on this Spanish paragraph I wrote — I need the readability score using the Fernandez-Huerta formula, word count, sentence count, and speaking time? The text is: 'El zorro marrón rápido salta sobre el perro perezoso. La escritura clara es esencial para comunicar ideas complejas de manera efectiva.'”
Speech preparation timing
“I'm preparing a five-minute keynote and want to check if my draft is the right length — can you calculate the speaking time, total word count, and average words per sentence for this text: 'Good morning everyone. Today I want to share three ideas that changed how I think about leadership. First, great leaders listen more than they speak. Second, vulnerability is a strength, not a weakness. Third, the best teams are built on trust, not fear.'”
Technical details
Endpoint
POSThttps://api.vextorium.com/v1/text-stats?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based text statistics without AI inference — it is fast, cheap ($0.003/call), and supports English and Spanish readability formulas (Flesch/Flesch-Kincaid and Fernandez-Huerta). Prefer it over AI-based text analysis when you need reproducible numeric metrics, readability grade levels, or word frequency counts for content quality checks, editorial workflows, or multilingual writing tools.
Side effects
- Text exceeds 500,000 character limit — request will be rejected
- Invalid language enum value (must be 'auto', 'en', or 'es') — validation error
- Missing required 'text' field in body — 400 bad request
- Readability fields may be null if text is too short to compute scores
- Payment failure or insufficient USDC balance — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| top | integer | Most frequent words to list (default 10) |
| text | string | Text (up to 500,000 characters) |
| language | string | auto, en or es |
Output
Schema · Response
{
"type": "json",
"example": {
"words": 18,
"sentences": 2,
"syllables": 24,
"characters": 87,
"paragraphs": 1,
"readability": {
"index": "Flesch Reading Ease",
"level": "easy",
"value": 84.9,
"flesch_kincaid_grade": 3.7
},
"unique_words": 16,
"frequent_words": [
{
"word": "quick",
"times": 1
},
{
"word": "brown",
"times": 1
}
],
"contains_emojis": false,
"reading_time_min": 0.08,
"speaking_time_min": 0.12,
"estimated_language": "en",
"avg_words_per_sentence": 9,
"characters_without_spaces": 70
}
}Tags
x402
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