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Saylor Innovations Data Desk – Word Frequency Analysis
x402
Saylor Innovations Data Desk – Word Frequency Analysis is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Analyzes text to return top words, top bigrams, unique/total word counts, lexical diversity, average word length, hapax legomena, and content word statistics
Price / call$0.01
Success—
StatusUnknown
How this service works
Word frequency analysis - top words and repeated bigrams without stopwords, unique and total words, lexical diversity and average word length
Output
A JSON object containing: an array of top words each with word text, occurrence count, and percentage share of total words; an array of top bigrams with phrase and count; total word count; unique word count; lexical diversity ratio; average word length; longest word; count of content words; and count of hapax legomena (words appearing exactly once). Optional note and source fields may also be present.
Example use cases
Blog post vocabulary richness check
“I've written this article draft and want to know if I'm repeating myself too much — can you run a word frequency analysis on it and show me the top 15 words, any repeated two-word phrases, and my lexical diversity score? Here's the text: [paste of 800-word blog post]”
Student essay complexity analysis
“Can you analyze this student essay for me and tell me the total and unique word counts, average word length, and the top 20 most-used words excluding stopwords? I want to see how rich the vocabulary is.”
Marketing copy keyword audit
“Look at this product description and find the top 10 words and bigrams that appear most often — I want to see if we're overusing any terms and what percent of the text each key word takes up.”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/text/word-frequency?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, structured breakdown of word-level statistics from a block of text — especially lexical diversity, bigrams, and stopword-free frequency counts — without building or hosting your own NLP pipeline. It is well-suited for lightweight content auditing, vocabulary richness checks on short-to-medium passages (up to 5000 characters), and situations where a pay-per-call model is preferable to a subscription. It is not suitable for full document analysis beyond 5000 characters, sentiment analysis, or deep semantic understanding.
Side effects
- Text shorter than 20 characters returns a validation error
- Text longer than 5000 characters exceeds the limit and is rejected
- Missing 'text' query parameter causes a required field error
- Non-string or empty text input causes a parse error
- Top parameter value outside 1-50 range returns a validation error
- Payment not attached or insufficient USDC returns a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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