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Sampling Observations — Numeric Interval Filter + Date by Category Pivot
x402
Sampling Observations — Numeric Interval Filter + Date by Category Pivot 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).
Filters sampling observation records by a numeric value range and produces a date-by-category pivot table, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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 derived from the supplied rows: (1) a subset of records whose target field (sample_value or sample_weight) falls within the specified numeric interval [minimum, maximum], and (2) a pivot table crossing date against dataset_group categories, showing aggregated values for the filtered observations. Both reports are computed locally without external lookups or live data.
Example use cases
Quality control batch sampling review
“I have 180 quality-control sample readings with row IDs, dates, product group labels, a measured sample_value, and a sample_weight. Filter out any rows where sample_value falls outside 10 to 500, then pivot the remaining data by date and product group so I can see which categories had readings in range each day.”
Survey response filtering by score range
“Here are 95 survey response records — each has a row ID, a date, a respondent group, a numeric score as sample_value, and a response weight as sample_weight. Keep only rows where sample_value is between 40 and 80, then show me a pivot of those filtered results broken down by date and respondent group.”
Environmental sensor interval analysis
“I've got 150 environmental sensor readings across several monitoring stations. Each row has a station ID as row_id, a collection date, a site_group as dataset_group, a sensor reading as sample_value, and a calibration weight as sample_weight. Filter to readings between -5 and 200, then cross-tabulate by date and site group so I can spot which stations were active on which days.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-133?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation records (with sample_value and sample_weight) and need two simultaneous analytical views: a numeric range filter and a date-by-category pivot. It is ideal for lightweight, offline-style analysis where no external data lookup or prediction is needed, and when you want both reports bundled at a flat $0.01 USDC cost rather than running two separate API calls.
Side effects
- Rows array is empty or missing — API returns a validation error
- More than 200 rows supplied — exceeds maxItems limit, request rejected
- Date strings not matching YYYY-MM-DD pattern — validation error on date field
- minimum greater than maximum — may return empty filtered set with no error
- null sample_value or sample_weight values may be excluded from numeric computations
- Missing required fields (row_id, dataset_group, date) — schema validation failure
- Payment not processed — x402 payment required before results are returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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