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Schema Conformity Daily Sum Series — Missing-Value Fill
x402
Schema Conformity Daily Sum Series — 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 2026-10-18).
Computes daily sum time series for schema conformity metrics (valid_records, checked_records) with explicit missing-value fill using zero, mean, or median imputation, across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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 independent analytical reports containing daily sum time series for the selected schema conformity field, with missing values explicitly filled using the chosen method (zero, mean, or median), derived entirely from the supplied row data without any external lookups.
Example use cases
Data quality monitoring rollup
“I have daily schema conformity logs for two dataset groups over the past month — can you aggregate valid_records into a daily sum series and fill any missing days using median imputation?”
Checked records gap filling
“Run the daily sum series for checked_records across my 120 conformity rows and use zero-fill for any missing values so I can see a clean day-by-day trend.”
Dual-metric conformity report
“Generate both a valid_records and a checked_records daily sum report from my supplied conformity dataset (about 80 rows), filling gaps with the mean, so I can compare the two series side by side.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected schema conformity records (valid_records and checked_records) that need daily aggregation and missing-value imputation in a single low-cost call. It is ideal for data quality pipelines, ETL monitoring, and compliance reporting where you supply the data locally and need two analytical reports without any external API calls or live data fetches.
Side effects
- Missing required fields (row_id, date, valid_records, checked_records) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error due to maxItems constraint
- Null values in both numeric fields with no valid data may produce degenerate fill results
- Invalid enum value for field or method parameter causes schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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