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Keyword Frequency Analyzer
x402
Keyword Frequency Analyzer is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Extracts top-N single tokens and two-word phrases by frequency from text, with stopword removal and normalized weights.
Price / call$0.002
Success—
StatusUnknown
How this service works
Top-N single tokens and two-word phrases by frequency, with stopword removal and normalized weights.
Output
Returns a ranked list of top-N single tokens and two-word phrases (bigrams) found in the input text, with stopwords removed. Each entry includes the term, its raw frequency count, and a normalized weight (0–1) indicating relative prominence.
Example use cases
SEO keyword audit for blog post
“I just wrote a 1000-word blog post about machine learning — can you pull out the top 20 keywords and bigrams by frequency so I can see if I'm hitting my target topics? Here's the full text.”
Topic extraction from customer reviews
“I have a batch of customer feedback text here. Can you find the top 10 most frequent single words and two-word phrases, with stopwords removed, so I can spot the main themes?”
Competitive content analysis
“Here's a competitor's landing page copy — can you extract the 15 highest-frequency keywords and phrases with their normalized weights so I can see what topics they're emphasizing?”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/keyword-frequencyWhen to prefer
Use this endpoint when you need fast, lightweight keyword and keyphrase frequency extraction with built-in stopword filtering and normalized weights — ideal for SEO analysis, content audits, topic modeling prep, or any workflow that needs to identify dominant terms in a text without standing up a full NLP pipeline.
Side effects
- Empty or very short text may yield fewer results than requested N
- Text in unsupported languages may not have proper stopwords removed
- Extremely long texts may time out or exceed payload limits
- Invalid N value (e.g. zero or negative) may return an error
- Non-text binary payloads will return a parsing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| top_n | number |
Output
Schema · Response
{
"type": "json",
"example": {
"top_n": 5,
"keywords": [
{
"term": "data",
"count": 4,
"weight": 1
}
]
}
}Tags
x402
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