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Sampling Observations Daily Sum Series with Missing-Value Fill
x402
Sampling Observations Daily Sum Series with Missing-Value Fill 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 daily sum series and fills missing values (zero, mean, or median) for up to 200 sampling observation records with sample_value and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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: (1) the daily sum series for the selected field (sample_value or sample_weight) aggregated by date, and (2) a version with explicit missing values filled using the chosen method (zero, mean, or median), all derived locally from the supplied rows without external data lookups.
Example use cases
Daily sales sample aggregation with gap fill
“I've got a dataset of daily sales observations with some missing values — each row has a date, row_id, dataset_group, sample_value, and sample_weight. Can you compute the daily sum series for sample_value and fill in the missing entries using median so I have a complete picture?”
Weighted survey response roll-up
“I have 150 survey response records grouped by date and region, and several sample_weight values are null. Can you aggregate the sample_weight field into a daily sum series and fill those nulls with zero so I can compare regions without gaps?”
IoT sensor reading daily totals
“My IoT sensor data has up to 200 rows with dates and sample_value readings, but there are missing readings on certain days. Please compute the daily sum series for sample_value, use mean to fill the missing ones, and give me the two summary reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to both aggregate daily sums from sampling observation records AND handle missing data in a single call, especially when you want two complementary reports (raw sums + filled sums) at minimal cost ($0.01 USDC). Best suited for offline/batch analytical tasks on datasets up to 200 rows where no live external data or predictions are needed.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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