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M2M Trust Descriptive Statistics API
x402
M2M Trust Descriptive Statistics API is a paid API for AI agents from energybilltoolkit.co.uk, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Computes deterministic descriptive statistics (mean, median, std dev, min, max, etc.) for a bounded finite numeric array
Price / call$0.01
Success—
StatusUnknown
How this service works
M2M Trust deterministic analysis tool: Deterministic descriptive statistics for bounded finite numeric arrays.
Output
Returns deterministic descriptive statistics for the submitted numeric array, including measures such as count, mean, median, mode, variance, standard deviation, min, max, and percentiles — all computed deterministically with no randomness or ML inference.
Example use cases
Example prompt
“Can you run deterministic descriptive statistics on this array of sensor readings: [12.4, 15.1, 9.8, 14.2, 11.7, 13.5, 10.9, 16.0, 12.8, 14.5]? I need mean, median, standard deviation, min, max, and variance.”
Technical details
Endpoint
POSThttps://energybilltoolkit.co.uk/m2m-trust/api/tools/descriptive-statsWhen to prefer
Choose this endpoint when you need fully deterministic, reproducible descriptive statistics on a finite numeric array — especially in quality-control, audit, or M2M trust contexts where consistent outputs for identical inputs are required. Prefer over probabilistic or ML-based analytics tools when auditability and repeatability matter.
Side effects
- Non-numeric values in array cause validation error
- Empty array returns error or undefined statistics
- Array exceeds bounded size limit returning a payload-too-large error
- Malformed JSON body returns 400 bad request
- Infinite or NaN values in array may cause computation failure
Input
{
"samples": [
12.4,
15.1,
9.8,
14.2,
11.7,
13.5,
10.9,
16,
12.8,
14.5
],
"statistics": [
"mean",
"median",
"std_dev",
"min",
"max",
"variance"
]
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| context | string | Short domain context for interpretation. |
| samples | array | Finite numeric sample values; NaN, infinities and non-numeric strings are rejected. |
| percentiles | array | Optional percentile requests from 0 to 100 inclusive. |
Output
{
"status": "Summarized",
"verdict": "Descriptive statistics calculated for finite numeric samples.",
"metadata": {
"context": "general",
"metrics": {
"iqr": 2.55,
"mad": 1.4,
"max": 16,
"min": 9.8,
"sum": 130.9,
"mean": 13.09,
"count": 10,
"range": 6.2,
"median": 13.15,
"outliers": {
"count": 0,
"values": [],
"truncated": false
},
"quartiles": {
"q1": 11.875,
"q2": 13.15,
"q3": 14.425
},
"percentiles": {
"p25": 11.875,
"p50": 13.15,
"p75": 14.425
},
"stdev_sample": 1.943908,
"outlier_fences": {
"lower": 8.05,
"upper": 18.25
},
"variance_sample": 3.778778,
"stdev_population": 1.844153,
"variance_population": 3.4009
},
"sample_count": 10,
"max_datapoints": 10000,
"percentile_method": "linear_interpolation_p_over_100_times_n_minus_1",
"requested_percentiles": [
25,
50,
75
]
},
"confidence": 0.6
}Tags
x402
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