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Sampling Observations — Numeric Distribution + Trailing Mean Series
x402
Sampling Observations — Numeric Distribution + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes a numeric distribution report and a trailing mean time series for up to 200 weighted sampling observation records supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports computed locally from the supplied rows: (1) a numeric distribution breakdown of the selected field (e.g. percentiles, frequency spread, min/max, mean, std), and (2) a trailing mean time series using the specified rolling window. Both reports use the sample_weight values and are scoped to the dataset_group labels provided.
Example use cases
Quality control sample spread analysis
“I have 50 manufacturing quality measurements with their sample weights taken daily through last month — can you give me the numeric distribution and a trailing mean series with a window of 7 days on the sample_value field so I can spot drift?”
Survey response weighted distribution
“Run a numeric distribution and trailing mean report on my survey response scores — I've got 120 rows with row IDs survey-1 through survey-120, dates from 2024-03-01, sample values between 1 and 10, and weights reflecting respondent count per day. Use a window of 3 and analyze sample_value.”
A/B experiment observation analytics
“I need to analyze the numeric spread and rolling mean trend for my experiment observations — 80 rows split between group-a and group-b, dated throughout Q1 2025, with sample_value as the metric and sample_weight as impressions. Can you run both the distribution and trailing mean reports with a window of 4?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of weighted sampling observations and need both a distributional summary and a rolling mean trend in a single low-cost call ($0.01 USDC). It is ideal for offline/supplied-data analytics where no external lookup, live data fetch, or prediction is needed — just statistical computation on your own records. Prefer alternatives if you need more than 200 rows, real-time data ingestion, predictive modeling, or more than two report types per call.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- date field not matching YYYY-MM-DD pattern — schema rejection
- sample_value or sample_weight outside ±1,000,000,000,000 range — validation error
- window value outside 2–200 range — schema rejection
- null values in sample_value or sample_weight may reduce usable row count
- field enum value not 'sample_value' or 'sample_weight' — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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