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Sampling Observations — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Sampling Observations — Trailing Mean Series + Secondary-Measure Weighted Mean 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 trailing (rolling) mean time series and a secondary-measure weighted mean over up to 200 user-supplied sampling observation rows in a single paid call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean 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 reports in a single response: (1) a trailing (rolling) mean series computed over the specified window size for the chosen field across all submitted rows, and (2) a secondary-measure weighted mean that uses sample_weight as the weighting factor for sample_value (or vice versa). Both reports are produced locally from the submitted data with no external lookups. Results cover up to 200 input rows.
Example use cases
Rolling average smoothing for survey data
“I have 50 weekly survey response scores with their associated weights, grouped by region. Can you compute a trailing mean series with a window of 5 on the sample_value field so I can see the smoothed trend over time?”
Weight-adjusted mean for quality sampling
“I've got 120 quality-control sample readings from our factory floor, each with a measurement value and an inspection weight. Can you calculate the secondary-measure weighted mean across all those records to get a weight-adjusted average quality score?”
Grouped time-series analysis for experiment data
“We ran an A/B experiment and collected 80 daily observation rows across two groups with numeric outcomes and sample weights. Please run both the trailing mean series with a window of 7 and the weighted mean on the sample_value field so I can compare smoothed trends and weighted averages for each group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND a weighted mean computed from the same set of sampling observation records in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical work on up to 200 rows where no live data lookup, external prediction, or professional assessment is needed — just local statistical computation on supplied data.
Side effects
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) return validation errors
- Dates not matching YYYY-MM-DD pattern cause schema validation failure
- Submitting more than 200 rows exceeds maxItems limit and is rejected
- Window size below 2 or above 200 is rejected by schema validation
- Null values in sample_value or sample_weight may produce partial or NaN results in calculations
- Payment failure via x402 protocol prevents call execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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