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Textdock Text Stats
x402
Textdock Text Stats is a paid API for AI agents from textdock.ggez.my.id, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Analyzes a text string to return word count, sentence count, character count, paragraph count, estimated reading time, and top N most frequent terms.
Price / call$0.01
Success—
StatusUnknown
How this service works
Deterministic CSV, URL and text utilities sold per call in USDC on Base.
Output
A JSON object containing: words (integer), sentences (integer), characters (integer), paragraphs (integer), reading_time_seconds (integer), and top_terms (array of {term, count} objects ranked by frequency, limited to top_n entries).
Example use cases
Blog post readability check
“Can you analyze this blog intro and tell me how many words, sentences, and paragraphs it has, the estimated reading time, and the top 5 most repeated terms? Here's the text: 'Content marketing drives brand awareness. Great content builds trust with your audience. Brands that invest in content see higher engagement and better conversion rates. Content is at the heart of every successful marketing strategy.'”
SEO keyword frequency audit
“I need to know which words appear most often in this landing page copy — give me the top 10 terms along with word count and character count. Text: 'Our cloud software helps teams collaborate efficiently. Teams using our cloud platform report 40% productivity gains. Cloud-based collaboration software is the future of work.'”
Support ticket length triage
“Run text stats on this customer support message and return the word count, sentence count, and top 3 terms so I can gauge complexity: 'I cannot log into my account. The login page shows an error every time I enter my password. I have tried resetting my password twice but the login error persists.'”
Technical details
Endpoint
POSThttps://textdock.ggez.my.id/text_stats?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, reproducible text statistics — word counts, sentence counts, character counts, reading time estimates, and term frequency rankings — without any AI-generated or probabilistic output. It is ideal for pipelines that require consistent metrics (e.g. SEO tools, content moderation, readability scoring) rather than semantic understanding or NLP inference.
Side effects
- Empty or missing text field returns an error or zero-value stats
- Non-integer top_n causes a validation error
- Extremely long texts may hit size limits or increase latency
- Payment failure (insufficient USDC balance) results in HTTP 402 and no response body
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| top_n | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"words": 4,
"sentences": 1,
"top_terms": [
{
"term": "market",
"count": 2
},
{
"term": "buyer",
"count": 1
}
],
"characters": 26,
"paragraphs": 1,
"reading_time_seconds": 1
}
}Tags
x402
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