KiHustle Profanity Filter Light

x402

KiHustle Profanity Filter Light is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-22).

Detects and filters profanity or inappropriate language from a given text string

Price / call$0.002

Seller volume →—

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 'result' field indicating whether the text was processed and a 'status' field confirming success. The light filter likely flags or sanitizes profane terms in the submitted text.

Example use cases

Moderating user comment submissions

“Before saving this comment to the database, run it through the profanity filter to make sure it's clean: 'You guys are a bunch of incompetent fools who never deliver on time.'”

Screening chatbot user input

“A user just typed this message to our chatbot — check it for profanity so we can decide whether to flag it: 'What the hell is wrong with your damn system?'”

Validating product review before publishing

“I need to check this product review for offensive language before it goes live on our site: 'This is the worst piece of junk I've ever bought, absolute garbage.'”

Technical details

Endpoint

POSThttps://kihustle.tech/agents/api/v1/profanity-filter-light?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a lightweight, low-cost ($0.002/call) profanity check on individual text strings without needing heavyweight NLP pipelines or detailed category breakdowns. Best for simple use cases like comment screening, chat moderation, or input validation where speed and cost matter more than nuance.

Side effects

Empty or missing 'text' field returns an error or undefined behavior
Extremely long text strings may timeout or be rejected
Non-string input types may cause processing errors
Ambiguous or context-dependent profanity may not be detected by a light filter
Service may return generic success status even for edge-case inputs without detailed reasoning

Input

Schema · Request body

Field	Type	Description
text	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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