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KiHustle N-Gram Frequency Analyzer
x402
KiHustle N-Gram Frequency Analyzer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-21).
Analyzes the frequency of n-grams (character or word sequences of length n) within a given text and returns frequency counts.
Price / call$0.002
Success—
StatusUnknown
How this service works
Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.
Output
Returns a JSON object with a status field indicating success and a result field. Based on the schema, the result contains processed n-gram frequency data derived from the submitted text using the specified n value — typically a mapping of n-gram sequences to their occurrence counts within the input.
Example use cases
SEO keyword phrase analysis
“Find the most common 2-word phrase combinations in this blog post so I can see which keyword pairs appear most often: 'Automation tools help creators build passive income. AI automation is changing how creators earn. Many creators use automation daily.' Set n to 2.”
Writing style repetition detection
“Check this draft article for repeated 3-word sequences — I want to know if I'm overusing any phrases. Here's the text: 'Building online income requires consistency. Building online income takes time. Many people building online income give up too soon.' Use n equals 3.”
Corpus linguistic pattern mining
“I have this customer feedback text and I want to count all individual word frequencies to find the most mentioned topics. Text: 'great support fast delivery great price love the support team fast shipping great experience.' Set n to 1.”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/ngram-frequency-analyzer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, low-cost n-gram frequency computation on arbitrary text without setting up a local NLP pipeline. At $0.002 per call it is cost-effective for single-document analysis tasks. Prefer it for quick content audits, SEO phrase analysis, or text pattern detection where you need raw frequency counts for a specific n value rather than full NLP features like POS tagging, named entity recognition, or sentiment scoring.
Side effects
- Missing or empty 'text' field — likely returns an error status
- Invalid or missing 'n' value (e.g. zero, negative, or non-integer) — may cause computation failure
- Text too long for processing — may timeout or return an error
- Payment failure via x402 protocol — request rejected before processing
- Malformed JSON body — returns HTTP 400 or similar error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| n | integer | |
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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