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Data Collection Completeness — Daily Sum Series + Secondary-Measure Weighted Mean
x402
Data Collection Completeness — Daily Sum 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 2026-10-24).
Computes a daily sum time series and a secondary-measure weighted mean for data collection completeness records (observed vs. expected values) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data collection completeness — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean for supplied data collection completeness records (observed_values, expected_values). 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 independent statistical reports sharing the same local analytics engine: (1) a daily sum series showing the total of the primary field (observed_values or expected_values) aggregated by date, and (2) a secondary-measure weighted mean across the dataset. Both reports are derived from the supplied rows without any external lookup or prediction.
Example use cases
Education course completion tracking
“I have daily records of expected vs observed student submissions for group-a and group-b across October 2026. Can you compute the daily sum of observed_values and a weighted mean using expected_values as the secondary measure for this completeness data?”
Data pipeline completeness audit
“Our data pipeline logs expected and observed record counts each day across different course groups. Run both the daily sum series and the weighted mean report on these completeness records so I can see where we have gaps — use observed_values as the primary field.”
Weekly QA review of collected records
“I need a quick statistical summary for our QA team: take these 150 rows of data collection completeness entries with observed and expected values per date and course group, and give me the daily sum series plus the secondary-measure weighted mean for observed_values.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-22-142?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily sum time series and a weighted mean computed together on data collection completeness records (observed vs. expected values) in a single low-cost call. It is ideal for education or monitoring contexts with up to 200 rows of dated, group-keyed completeness data. Prefer it over generic analytics tools when you want a bundled two-report output at minimal cost ($0.01 USDC) without needing external data lookups or predictions.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, observed_values, expected_values) cause validation errors
- Date strings not matching YYYY-MM-DD format will fail pattern validation
- Null values in observed_values or expected_values may affect weighted mean calculation
- Invalid field enum value (anything other than 'observed_values' or 'expected_values') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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