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KiHustle De-Du Anrede Checker
x402
KiHustle De-Du Anrede Checker is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16).
Checks German text to determine whether it uses formal ('Sie') or informal ('du') address/salutation style
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 indicating whether the input German text uses formal ('Sie') or informal ('du') address style, along with a processing status and result field.
Example use cases
German website copy consistency check
“I'm reviewing our German landing page copy — can you check this sentence and tell me if it's using du or Sie: 'Erstelle dein Konto und starte noch heute'?”
German email formality verification
“Before I send this German email to a client, can you verify whether the tone is formal (Sie) or informal (du)? Here's the text: 'Sehr geehrter Herr Müller, wir freuen uns, Sie als Kunden begrüßen zu dürfen.'”
German marketing content audit
“Check this German ad copy for me — is it using du-form or Sie-form? Text: 'Steigern Sie Ihren Umsatz mit unserem neuen Tool.'”
Technical details
Endpoint
POSThttps://kihustle.tech/api/v1/de-du-anrede-checker?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically classify the formality register (du vs. Sie) of German-language text, especially useful for content consistency checks, localization audits, or automated German copy review pipelines. Prefer this over generic language detection APIs when the specific goal is formality/salutation style in German.
Side effects
- Empty text input returns an error or ambiguous result
- Non-German text may produce unreliable classification
- Very short text with no address pronouns may not yield a clear result
- Mixed du/Sie text may produce ambiguous output
- Malformed JSON input body returns an error
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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