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Training Compliance Adjacent Row Changes + Explicit Missing-Value Fill
x402
Training Compliance Adjacent Row Changes + Explicit 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 2026-10-28).
Analyzes training compliance data (completed_courses, assigned_courses) to detect adjacent row changes and fill missing values using zero, mean, or median imputation — two reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training compliance — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied training compliance records (completed_courses, assigned_courses). 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) an adjacent row change report showing where consecutive rows differ in the selected field (completed_courses or assigned_courses), and (2) a missing-value fill report showing which null values were imputed and with what values, using the specified method (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Spotting compliance drops between training weeks
“I have weekly training compliance records for my 3 team groups — can you check where completed_courses changed between consecutive rows and also fill any null values with the median? Here are 120 rows with dates, row IDs, team names, and course counts.”
Cleaning HR training data before dashboard upload
“Before I push this training dataset to our dashboard, can you fill in any missing assigned_courses values using zero-fill and also show me where adjacent rows have changes? I've got about 80 rows covering our Q3 compliance period.”
Auditing assigned course changes across teams
“Can you run an adjacent row change report on assigned_courses for these team compliance records, and use mean imputation to handle any missing values? I'm looking at 200 rows across multiple team groups from October.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-10-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local analytical processing of training compliance tabular data — specifically when you want both adjacent row change detection and explicit missing-value imputation in a single call for up to 200 rows, without needing live data, predictions, or external integrations. It is cost-effective at $0.01 per call delivering two reports simultaneously.
Side effects
- More than 200 rows submitted — request rejected at maxItems limit
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, team_group, date, completed_courses, assigned_courses) causes schema rejection
- Invalid method enum value (not zero/mean/median) causes error
- Invalid field enum value (not completed_courses/assigned_courses) causes error
- Empty rows array (minItems:1 violated) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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