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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 2026-10-29).
Computes detailed text statistics including character/word/sentence counts, readability scores (Flesch/Flesch-Kincaid for English, Fernandez-Huerta for Spanish), reading/speaking time, unique words, and most frequent words — no AI involved.
Price / call$0.003
Success—
StatusUnknown
How this service works
Text statistics without AI: characters, words, sentences, paragraphs, unique words, reading and speaking time, readability (Flesch / Flesch-Kincaid for English, Fernandez-Huerta for Spanish) and most frequent words.
Output
Returns a JSON object with character count (total and without spaces), word count, unique word count, sentence count, paragraph count, syllable count, average words per sentence, estimated language, emoji presence flag, reading time in minutes, speaking time in minutes, a readability object (index name, numeric score, level label, Flesch-Kincaid grade), and an array of the most frequent words with their occurrence counts.
Example use cases
Blog post readability check
“Can you check how readable my blog post draft is? I want the Flesch Reading Ease score and grade level, plus how many words, sentences, and paragraphs it has, and an estimate of how long it takes to read. The text is in English: [paste text here]”
Speech timing for presentation
“I'm preparing a 5-minute speech — can you tell me how long it would take to speak this text out loud, and also give me the word count and sentence count so I can trim it if needed? Here's the text: [paste speech text here]”
Spanish content complexity analysis
“Analyze the readability of this Spanish article using the Fernandez-Huerta index and tell me the word count, unique word count, and the top 10 most frequent words. The language is Spanish: [paste Spanish text here]”
Technical details
Endpoint
POSThttps://api.vextorium.com/estadisticas-texto-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, deterministic, rule-based text statistics without any AI inference — ideal for content pipelines, editorial tools, or compliance checks where reproducibility matters. Prefer it over AI-based text analyzers when you need exact counts, established readability formulas (Flesch, Flesch-Kincaid, Fernandez-Huerta), or need to support both English and Spanish. It handles texts up to 500,000 characters and is cost-effective at $0.003 per call.
Side effects
- Text exceeds 500,000 character limit — request rejected
- Missing required 'texto' field — validation error
- Unsupported language code passed in 'idioma' enum — validation error
- Payment not received or insufficient — 402 payment required
- Very short or empty text may yield null readability scores
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| top | integer | Most frequent words to list (default 10) |
| texto | string | Text (up to 500,000 characters) |
| idioma | string | auto, en or es |
Output
Schema · Response
{
"type": "json",
"example": {
"frases": 2,
"silabas": 24,
"palabras": 18,
"parrafos": 1,
"caracteres": 87,
"legibilidad": {
"nivel": "easy",
"valor": 84.9,
"indice": "Flesch Reading Ease",
"grado_flesch_kincaid": 3.7
},
"contiene_emojis": false,
"idioma_estimado": "en",
"palabras_unicas": 16,
"tiempo_habla_min": 0.12,
"tiempo_lectura_min": 0.08,
"palabras_frecuentes": [
{
"veces": 1,
"palabra": "quick"
},
{
"veces": 1,
"palabra": "brown"
},
{
"veces": 1,
"palabra": "fox"
},
{
"veces": 1,
"palabra": "jumps"
},
{
"veces": 1,
"palabra": "over"
},
{
"veces": 1,
"palabra": "lazy"
},
{
"veces": 1,
"palabra": "dog"
},
{
"veces": 1,
"palabra": "sunny"
},
{
"veces": 1,
"palabra": "day"
},
{
"veces": 1,
"palabra": "everyone"
}
],
"caracteres_sin_espacios": 70,
"media_palabras_por_frase": 9
}
}Tags
x402
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