ForgeMesh Descriptive Statistics API is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Computes a full suite of descriptive statistics (count, mean, median, mode, std dev, variance, percentiles, outliers, and more) for an array of up to 100,000 numbers
Descriptive statistics API: feed up to 100,000 numbers and get count, sum, mean, median, mode, sample standard deviation, variance, min/max/range, percentiles (p25/p50/p75/p90/p99), and IQR-flagged outliers. Deterministic and auditable — cheaper than burning reasoning tokens, zero arithmetic-hallucination risk, and the result can be cited. For data QA, monitoring, and analysis agents.
Returns count, sum, mean, median, mode, sample standard deviation, variance, min, max, range, p25/p50/p75/p90/p99 percentiles, IQR, and a list of IQR-flagged outlier values — all in a single deterministic, auditable response
POSThttps://x402.forgemesh.io/math-statisticsChoose this endpoint when you need fast, deterministic, and auditable descriptive statistics without spending LLM reasoning tokens on arithmetic — especially for data QA pipelines, monitoring agents checking distributions, or any workflow where numeric accuracy and citability matter. Preferable over asking an LLM to compute statistics directly, eliminating arithmetic-hallucination risk.
| Field | Type | Description |
|---|---|---|
| numbers | array | array or comma-separated string |
{
"type": "json",
"example": {
"mean": 27.166667,
"median": 13.5,
"outliers_iqr": [
98
],
"std_dev_sample": 34.749604
}
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