Tanod utilpeek Word Frequency & N-gram Counter

x402

Tanod utilpeek Word Frequency & N-gram Counter is a paid API for AI agents from tanod.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-11).

Counts word or n-gram frequencies in a block of text, returning ranked lists of top tokens with occurrence counts.

Price / call$0.001

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StatusUnknown

How this service works

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Output

Returns a ranked list of up to `top_n` word tokens or n-grams (unigrams, bigrams, or trigrams) each paired with their occurrence count, computed from the submitted text after optional stop-word removal, case normalization, and length filtering. If `characters` is true, also includes per-character frequency counts (excluding whitespace).

Example use cases

SEO keyword density audit

“Analyze the word frequency of this blog post — give me the top 30 single words with stop words removed, English language, case-insensitive, and ignore numbers. I want to see which keywords dominate the copy.”

Competitive document phrase analysis

“Count the top 25 most common two-word phrases (bigrams) in this product review dataset text, using English stop words, minimum word length of 3 characters, case-insensitive.”

Survey response theme extraction

“I have a block of open-ended survey responses — find the 50 most frequent words and also the top 50 bigrams, remove stop words using the English list, exclude numbers, and tell me character counts too.”

Technical details

Endpoint

POSThttps://tanod.dev/v1/text/frequency?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need fast, configurable word or n-gram frequency counts from raw text — especially when stop-word removal, case normalization, minimum token length, and multilingual support (de/en/es/fr/it/nl/pt) are needed out of the box. Prefer it over building custom tokenizers when the text fits within 200,000 characters and you want ranked frequency lists as a ready-to-use output rather than full NLP pipelines.

Side effects

Text exceeds 200,000 character limit — request rejected
Invalid ngram value outside 1-3 range — validation error
Unsupported language enum value — validation error
Empty or missing text field — validation error
top_n out of range (must be 1-1000) — validation error
Payment not included or insufficient — x402 payment required error

Input

Schema · Request body

Field	Type	Description
text	string	The text (at most 200,000 characters).
ngram	integer	Term length in words: 1 (default), 2 or 3; n-grams never span punctuation.
top_n	integer	Most frequent terms to return (1-1000, default 50).
language	string	Stop-word list to drop (none = keep every word).
characters	boolean	Also count characters (whitespace excluded).
min_length	integer	Shortest word counted, in characters (1-50, default 1; single words only, ngram=1).
case_sensitive	boolean	Count "Word" and "word" apart (default false: terms are lowercased).
include_numbers	boolean	Also count numeric tokens such as 2026 (default false).
remove_stopwords	boolean	Drop the stop words of `language` (default true).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "top": [
      {
        "term": "cat",
        "count": 2,
        "share": 0.333333
      },
      {
        "term": "sat",
        "count": 2,
        "share": 0.333333
      },
      {
        "term": "dog",
        "count": 1,
        "share": 0.166667
      }
    ],
    "ngram": 1,
    "total": 6,
    "source": {
      "library": "own implementation (standard library)",
      "license": "n/a"
    },
    "unique": 4,
    "language": "en",
    "stopwords_removed": true
  }
}

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