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Sampling Observations — Daily Sum Series + Date by Category Pivot
x402
Sampling Observations — Daily Sum Series + 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).
Computes two analytical reports from supplied sampling observation rows: a daily sum time series and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Daily sum series + Date by category pivot: Daily sum series + 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
Two analytical reports: (1) a daily sum time series showing aggregated totals of the chosen field (sample_value or sample_weight) per date across all rows, and (2) a date-by-category pivot table breaking down those totals by dataset_group per date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Survey response daily trend analysis
“I've got 150 survey response rows, each with a date, a group label, and a numeric score. Can you give me the daily sum series and a pivot of scores by date and group, using the sample_value field?”
Weighted clinical sample aggregation
“Here are my clinical sampling records — each row has a date, a cohort name, a measurement value, and a sample weight. Please compute the daily sum series and the date-by-cohort pivot for the sample_weight field across all 80 rows.”
Marketing campaign spend breakdown
“I have daily campaign spend observations split by channel group, up to 200 rows. Run both the daily sum series and the date-by-channel pivot on the sample_value field so I can see totals by day and by channel.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-143?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 sampling observation records with date, group, and numeric value/weight fields and need both a daily aggregation time series and a category pivot table in a single low-cost call ($0.01 USDC for both reports). Prefer it over general-purpose analytics tools when you want a fast, self-contained computation on supplied data without any external data access or live prediction.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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