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Sampling Observations — String Normalisation + Trailing Mean Series
x402
Sampling Observations — String Normalisation + 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 2026-10-24).
Computes string normalisation and trailing mean series analytics on up to 200 rows of weighted sampling observation records, returning 2 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — String normalisation + Trailing mean series: String normalisation + 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
Two analytical reports per call: (1) a string normalisation report applied to the supplied sampling observation records, and (2) a trailing mean series computed over the specified field (sample_value or sample_weight) using the given rolling window size — both derived entirely from the submitted data, with no external lookups.
Example use cases
Quality control sampling trend analysis
“I have 50 weekly sampling observations with sample values and weights across two product groups. Can you normalise the strings and compute a trailing mean series using a window of 5 on the sample_value field so I can see the smoothed trend?”
Survey response weight smoothing
“I've got 120 survey sample records with dates, group labels, and weighted scores. Run string normalisation and a rolling mean with window 10 on sample_weight so I can see how the weighted responses trend over time.”
Environmental monitoring data cleanup
“Here are 80 rows of environmental sampling readings with sample values and collection weights across monitoring stations. Give me the string normalisation and trailing mean series reports with a window of 3 on sample_value.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific analytical operations — string normalisation and trailing mean series — applied together to weighted sampling observation records in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where you want offline, local analytical computation without any external data lookup or live inference. Best suited for time-series sampling data with group labels and weights.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields (row_id, dataset_group, date, sample_value, or sample_weight)
- Window value outside allowed range (must be integer 2–200)
- Field value not in enum (must be 'sample_value' or 'sample_weight')
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment not included or insufficient (requires 0.01 USDC via x402)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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