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KiHustle JSON Percentile Calculator
x402
KiHustle JSON Percentile Calculator is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Computes percentile values for a given array of numbers at specified percentile thresholds
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
A JSON response containing the computed percentile values for the specified thresholds against the input array, returned with a success status indicator.
Example use cases
Latency percentile analysis
“I have a list of API response times in milliseconds — [120, 340, 89, 450, 210, 780, 95, 560, 330, 140, 670, 88, 920, 250] — can you calculate the p50, p95, and p99 percentiles so I can understand tail latency?”
Sales performance distribution
“Here are monthly revenue figures for our 20 sales reps: [4200, 3800, 5100, 2900, 6700, 4500, 3200, 5800, 4100, 3600, 7200, 2800, 5500, 4900, 3300, 6100, 4700, 3900, 5200, 4400]. Give me the 25th, 50th, and 75th percentile so I can benchmark performance.”
Student grade quartile breakdown
“I've got exam scores for a class — [55, 72, 88, 91, 63, 77, 84, 69, 95, 58, 80, 74, 66, 93, 71, 82, 60, 87, 79, 68] — please calculate the 10th, 25th, 50th, 75th, and 90th percentiles to understand grade distribution.”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/json-percentile-calculatorWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call percentile computation without setting up a local statistics library or data warehouse query. Ideal for quick on-demand percentile calculations within agent workflows where the dataset is small-to-medium and results are needed in real time.
Side effects
- Empty or missing values array returns an error
- Invalid percentile values outside 0-100 range may cause failure
- Non-numeric entries in the values array will likely cause processing errors
- Very large arrays may hit payload or processing limits
- Malformed JSON input returns a 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| values | array | |
| percentiles | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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