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KiHustle Second Person Ratio Analyzer
x402
KiHustle Second Person Ratio Analyzer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Computes the ratio of second-person language (you/your/yourself) in a given text, returning a quantified measure of how directly the text addresses the reader.
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 result field containing the computed second-person ratio (likely a numeric proportion or percentage of second-person pronouns relative to total words or pronouns) and a status field confirming successful processing.
Example use cases
Copywriting reader-focus audit
“Analyze this landing page draft and tell me the second-person ratio — I want to know how reader-focused my copy is: 'You deserve a system that works for you. Build your side hustle today and take control of your financial future.'”
Blog post tone consistency check
“I just wrote a new article and I'm not sure if I'm addressing the reader enough. Can you run the second-person ratio on this text and tell me the score? Here it is: 'Side hustles are growing fast. Many people are finding ways to earn extra income using AI tools and automation platforms.'”
Email newsletter personalization check
“Check this email draft for me — what's its second-person ratio? I want to make sure it feels personal and direct: 'This week, we're sharing our top tips. Our community has been testing these strategies for months and results have been great.'”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/second-person-ratio?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, fast, per-call metric for second-person pronoun density in text — particularly useful for copywriters, content marketers, or AI writing pipelines that want to programmatically audit how reader-centric a piece of writing is without running a full NLP pipeline.
Side effects
- Empty or missing text field returns an error or zero ratio
- Very short texts may produce unreliable or extreme ratios
- Non-English text may yield inaccurate pronoun detection
- Malformed JSON request body results in a 400 error
- Network timeout or service unavailability returns a 5xx 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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