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CoCo Word Frequency Analyzer
x402
CoCo Word Frequency Analyzer is a paid API for AI agents from cocoeatsai.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-19).
Counts word frequencies in a given text, returning the most common words, total word count, and unique word count.
Price / call$0.001
Success—
StatusUnknown
How this service works
Zach Riehn's lab: an about-me and portfolio, a news desk, The Atelier for AI experiments, Launch Lab for XRP research, and Fracture for games.
Output
Returns a JSON object with a 'top' array of [word, count] pairs ranked by frequency, a 'unique' integer for the number of distinct words, and a 'total_words' integer for the total word count in the input text.
Example use cases
Blog post vocabulary analysis
“Take this blog post draft and find the top 10 most frequently used words so I can see if I'm repeating myself too much: 'Content marketing is all about creating content that matters. Content drives traffic, and traffic drives growth...'”
SEO keyword density check
“I want to know the top 5 words appearing most often in this product description so I can check my keyword density — here's the text: 'Our premium coffee maker brews coffee at the perfect temperature every time. Coffee lovers everywhere prefer our coffee maker.'”
Student essay word repetition audit
“Can you check this essay excerpt for word repetition and show me the 8 most common words and total word count? The text is: 'History shows that great leaders study history carefully. History repeats itself when leaders ignore the lessons of history.'”
Technical details
Endpoint
GEThttps://cocoeatsai.com/area4/agent/tools/word-freq?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, cheap ($0.001 per call) word frequency computation over arbitrary text without needing a full NLP pipeline. It is ideal for quick vocabulary checks, keyword density audits, or repetition detection in short-to-medium texts where you don't need part-of-speech tagging, stemming, or sentiment analysis.
Side effects
- Missing 'text' query parameter returns an error or empty result
- Very long texts may time out or hit payload limits
- Non-English or mixed-language text may produce unexpected tokenization
- The 'top' parameter if omitted may default to a fixed number of results
- Special characters or punctuation may affect tokenization accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"top": [
[
"cat",
1
],
[
"sat",
1
],
[
"mat",
1
],
[
"english",
1
],
[
"example",
1
]
],
"unique": 5,
"total_words": 11
},
"exampleNote": "Computed offline with demonstration inputs; time/random values are illustrative."
}Tags
x402
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