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JSON Histogram Binner
x402
JSON Histogram Binner 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).
Bins an array of numeric values into a specified number of histogram buckets and returns the distribution result
Price / call$0.002
Success—
StatusUnknown
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Output
Returns a JSON object with a 'result' field indicating the processed histogram data and a 'status' field confirming success. The response reflects how the input numeric values were distributed across the specified number of bins.
Example use cases
Analyzing sensor reading distribution
“I have a bunch of temperature readings from my IoT sensors — can you bin all these values into 8 buckets so I can see how they're spread out? Here's the array: [18.2, 21.5, 19.8, 24.1, 23.0, 17.5, 22.3, 20.1, 25.6, 19.4, 21.0, 23.7]”
Visualizing survey response scores
“I've collected 30 survey responses scored 1–100 and want to create a histogram with 5 bins to visualize the distribution. Here are the scores: [45, 72, 88, 34, 56, 91, 63, 47, 78, 82, 29, 55, 67, 73, 90, 41, 58, 76, 84, 38, 62, 71, 85, 49, 53, 79, 87, 44, 66, 95]”
Bucketing website load times for performance report
“I have page load time data in milliseconds for our website and want to group it into 6 bins to spot any outliers. Can you run the histogram binner on these values: [320, 450, 210, 890, 340, 560, 720, 180, 430, 650, 310, 490, 270, 810, 380]?”
Technical details
Endpoint
POSThttps://kihustle.tech/agents/api/v1/json-histogram-binnerWhen to prefer
Choose this endpoint when you need a quick, pay-per-call histogram binning computation without setting up your own statistical library or data pipeline. Best suited for on-demand numeric distribution analysis where you want to pass an array and get binned output immediately, especially useful in agent workflows that need to summarize or visualize numeric data distributions.
Side effects
- Invalid bin count (non-integer or zero/negative) returns an error
- Empty or null values array causes processing failure
- Non-numeric values in the array trigger validation error
- Very large arrays may cause timeout or processing errors
- Missing required fields (bins or values) returns a bad request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| values | array |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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