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Sindri Descriptive Statistics Summary
x402
Sindri Descriptive Statistics Summary is a paid API for AI agents from ppu43fkyhimq5fiqpmo42eh5ri0yypid.lambda-url.us-east-1.on.aws, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-30).
Computes descriptive statistics (mean, median, variance, standard deviation, and 25th/75th/90th percentiles) over a numeric array of up to 10,000 elements using R/numpy-compatible interpolation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Descriptive statistics summary (mean, median, variance, standard deviation, and 25th/75th/90th percentiles via linear interpolation, matching R and numpy's default "type=7" method) over a numeric array of up to 10,000 elements.
Output
Returns a JSON object containing the mean, median, variance, standard deviation, and the 25th, 75th, and 90th percentiles for the provided numeric array, computed using linear interpolation (matching R and numpy's default type=7 method).
Example use cases
Analyzing survey response scores
“I have 500 numeric survey responses rating our product from 1 to 10 — can you compute the mean, median, standard deviation, and 25th, 75th, and 90th percentiles for me?”
QA check on sensor readings
“Here are the temperature readings from our IoT sensors over the last 24 hours. Can you summarize the distribution with mean, median, variance, and percentiles so I can spot any anomalies?”
Benchmarking algorithm latency
“I've collected these API response times in milliseconds across 1,000 test runs. What are the descriptive statistics — especially the 90th percentile latency, median, mean, and standard deviation?”
Technical details
Endpoint
POSThttps://ppu43fkyhimq5fiqpmo42eh5ri0yypid.lambda-url.us-east-1.on.aws/statisticsSummary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, reliable, R/numpy-compatible statistical summary of a numeric dataset without standing up your own compute. Ideal when you need all standard descriptive statistics (mean, median, variance, std dev, and three percentiles) in a single call. Prefer over manual computation when working in environments without statistical libraries or when reproducibility against R/numpy defaults is important.
Side effects
- Empty array provided — endpoint requires a non-empty numeric array
- Array exceeds 10,000 element limit — request rejected
- Non-numeric values in array — schema validation error
- Malformed request body — missing 'values' field returns error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| values | array | Non-empty array of numbers, up to 10,000 elements. |
Tags
x402
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