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KiHustle Burstiness Scorer
x402
KiHustle Burstiness Scorer is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Analyzes text to score its burstiness — a linguistic measure of how natural or AI-generated the writing pattern feels, based on sentence length variation.
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a burstiness score result and a success status indicator, reflecting how varied (or uniform) the sentence length patterns are in the submitted text.
Example use cases
AI content detection for blog posts
“I just wrote a blog post with AI assistance and want to check if it sounds too robotic. Can you run a burstiness score on this text: 'Content marketing drives traffic. Businesses need visibility. SEO is important. Keywords matter greatly. Writers produce content daily.'”
Humanizing AI-generated copy
“Before I publish this product description, score its burstiness so I can tell if the sentence lengths are too uniform and need to be more varied: 'Our product saves time. It reduces costs. Users love it. Reviews are positive.'”
Writing coach feedback on sentence variation
“I'm coaching a student on writing style — can you score the burstiness of their paragraph so we can see how varied their sentence lengths actually are? Here's the text: 'The sun rose slowly over the mountains. Birds sang. The valley below was covered in a thin morning mist that shimmered as the light touched it. It was cold.'”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/burstiness-scorerWhen to prefer
Use this endpoint when you need a lightweight, per-call burstiness measurement on a text snippet — especially when building AI-detection pipelines, content humanization workflows, or writing feedback tools. Prefer it over full AI-detection suites when burstiness is specifically the signal you need and cost-efficiency matters at $0.002 per call.
Side effects
- Empty or missing text field returns an error or undefined result
- Extremely short text (single sentence) may produce unreliable or degenerate scores
- Non-English text may not be scored accurately depending on the underlying model
- Very long texts may exceed processing limits
- Generic response schema means specific score values or scale may not be clearly documented
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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