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Training Compliance Record Quality Audit + Keyed Dataset Comparison
x402
Training Compliance Record Quality Audit + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs two analytical reports on training compliance data: a record quality audit and a keyed dataset comparison between two supplied datasets of up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training compliance — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, malformed dates, and anomalies in the completed_courses and assigned_courses fields; and (2) a keyed dataset comparison report highlighting row-level and field-level differences between the two supplied datasets, keyed on row_id.
Example use cases
Monthly compliance data quality check
“I have this month's training compliance export with 120 rows covering team_group, date, completed_courses, and assigned_courses — can you run a record quality audit on it and flag any nulls, invalid dates, or suspicious values?”
Quarter-over-quarter course completion comparison
“I've got two datasets of training compliance records — Q2 and Q3, about 80 rows each with row_id, team_group, date, completed_courses, and assigned_courses — can you do a keyed comparison and show me exactly which rows changed between quarters?”
Cross-team compliance dataset reconciliation
“Our HR team and the LMS both exported training records for the same period and I need to reconcile them — both files have around 150 rows with row_id, team_group, date, assigned_courses, and completed_courses. Can you run a quality audit on the primary set and then compare it against the LMS export to find where they disagree?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-10-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a side-by-side keyed comparison of two training compliance datasets in a single low-cost call. It is ideal for compliance teams reconciling LMS exports, validating HR data before reporting, or comparing period-over-period snapshots of course completion records. It operates entirely on supplied data with no external lookups, making it safe for sensitive workforce data.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, team_group, date, completed_courses, assigned_courses) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema error
- Empty rows array (minItems: 1 not met) — request rejected
- Payment not included or insufficient USDC — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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