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Math and Statistics – Descriptive Statistics
x402
Math and Statistics – Descriptive Statistics is a paid API for AI agents from math-stats.x402tookit.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-30).
Computes descriptive statistics for a list of numbers: mean, median, mode, spread, quartiles, outliers, skewness, and kurtosis.
Price / call$0.02
Success—
StatusUnknown
How this service works
Descriptive statistics for a list of numbers: mean, median, mode, spread, quartiles, outliers, skewness and kurtosis.
Output
Returns a JSON object with count, sum, min, max, range, mean, median, mode(s), Q1, Q3, IQR, sample/population variance, sample/population standard deviation, standard error of the mean, coefficient of variation (%), skewness (sample), excess kurtosis (sample), outlier fences (low/high), and a list of detected outliers, plus a human-readable summary string.
Example use cases
Detecting outliers in sensor readings
“I have a batch of temperature sensor readings: 21.1, 21.4, 20.9, 21.2, 21.0, 45.7, 20.8, 21.3. Can you compute the descriptive stats and tell me which values are outliers?”
Summarizing student exam scores
“Here are the exam scores for my class: 55, 62, 70, 74, 78, 80, 83, 85, 88, 90, 91, 95, 98. Get me the mean, median, standard deviation, and quartiles so I can understand the distribution.”
Checking dataset skewness before modeling
“Before I fit a regression model I need to know if this variable is skewed — here are the values: 1.2, 1.5, 1.3, 1.8, 2.1, 3.4, 5.9, 12.3, 0.9, 1.1. Can you run descriptive stats including skewness and kurtosis?”
Technical details
Endpoint
GEThttps://math-stats.x402tookit.com/stats-describe?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a comprehensive one-shot descriptive statistics profile for a numeric list — especially when you want outlier detection, skewness, and kurtosis alongside basic central tendency and spread metrics. Prefer it over manual computation or general-purpose code execution when speed and a structured JSON response are needed. If you only need a t-test, correlation, or confidence interval, use the sibling endpoints on this platform instead.
Side effects
- Fewer than 2 or more than 500 values provided — API rejects input
- Non-numeric tokens in the values string — parse error returned
- Single unique value provided — mode and some spread metrics may be null
- Network timeout or payment failure (x402) — no result returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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