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KiHustle Stopword Remover
x402
KiHustle Stopword Remover is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).
Removes common stopwords from a given text string, returning a cleaned version with filler words stripped out.
Price / call$0.001
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
A JSON object containing the processed text with stopwords removed under a 'result' key and a 'status' field indicating success. The cleaned string retains the meaningful content words while common filler words (articles, conjunctions, prepositions, etc.) are stripped out.
Example use cases
SEO keyword extraction preprocessing
“Remove all the stopwords from this blog paragraph before I run keyword analysis on it: 'Building a successful side hustle is one of the best ways to create additional streams of income in the modern economy.'”
Search index content cleaning
“I need to clean this product description by stripping out stopwords so I can index the important terms: 'This is a high quality tool that helps you automate your workflow and save time every day.'”
NLP training data normalization
“Filter all the common stopwords out of this sentence for my NLP model training dataset: 'She was walking through the park when it started to rain heavily.'”
Technical details
Endpoint
POSThttps://kihustle.tech/bot-bazaar/api/v1/stopword-remover?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call stopword removal step in a text preprocessing pipeline without deploying your own NLP library. It is well-suited for low-volume, cost-sensitive workflows such as ad hoc keyword extraction or quick content cleaning tasks where spinning up a full NLP stack is overkill.
Side effects
- Empty or missing 'text' field returns an error or empty result
- Extremely long text strings may time out or be truncated
- Non-string input types may cause processing failure
- No language detection — stopword list may default to a single language (likely German or English given the site context), producing poor results for other languages
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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