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24K Labs Keyword Frequency Analyzer
x402
24K Labs 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 the 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
A ranked list of the top-N single tokens and two-word phrases extracted from the input text, with stopwords removed, raw frequency counts, and normalized weights (0–1 scale) indicating relative prominence.
Example use cases
SEO content audit for a blog post
“Analyze this 800-word blog post and give me the top 20 keywords and bigrams by frequency with stopword removal, so I can see what terms are dominating the content: [paste article text here]”
Summarizing customer feedback themes
“I have a batch of customer reviews combined into one block of text — can you extract the top 10 most frequent single words and two-word phrases from it, with normalized weights, so I can see what topics come up most?”
Comparing term dominance across a research abstract
“Take this research abstract and pull out the top 5 keywords and top 5 bigrams by frequency, excluding common stopwords, so I can quickly understand the core subject matter.”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/v1/keyword-frequencyWhen to prefer
Choose this endpoint when you need fast, lightweight keyword frequency extraction from raw text with built-in stopword filtering and normalized scoring — ideal for SEO audits, content summarization, or thematic analysis without needing a full NLP pipeline. Prefer it over general-purpose LLM summarization when you need structured, ranked frequency data rather than prose summaries, and over full-text search engines when you don't have an index and just need term statistics from a single document.
Side effects
- Empty or whitespace-only text input returns no results or an error
- Text too short to produce meaningful N results may return fewer items than requested
- Unsupported language stopword lists may cause common words to appear in results
- Very large text payloads may time out or exceed input size limits
- Non-text or binary content passed as input will cause 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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