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Training Compliance Data Quality Analyzer — Record Audit, Deduplication & IQR Outlier Flags
x402
Training Compliance Data Quality Analyzer — Record Audit, Deduplication & IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Runs three local analytical reports on training compliance records: a record quality audit, exact row deduplication, and IQR-based outlier flagging for completed_courses or assigned_courses fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training compliance — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied training compliance records (completed_courses, assigned_courses). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit highlighting missing values, format errors, and field-level issues; (2) an exact row deduplication report identifying duplicate records; and (3) IQR-based outlier flags on the selected numeric field (completed_courses or assigned_courses). All analysis is performed locally on the supplied data without external lookups.
Example use cases
Pre-reporting HR data cleanup
“Before I submit our quarterly training report, can you run a quality audit, deduplication check, and IQR outlier detection on my completed_courses data? I'll send you the rows with row_id, team_group, and date included — about 120 records total.”
Detecting anomalous course completions by team
“Some of our team groups seem to have suspiciously high or low completion numbers. Can you flag the IQR outliers in the assigned_courses field across these 80 training compliance records I have, along with a quality audit and duplicate check?”
Cleaning LMS export before dashboard ingestion
“I just exported 200 rows from our LMS and need to clean them up before loading into the dashboard — can you do a full record quality audit, find any exact duplicate rows, and flag statistical outliers in completed_courses using the IQR method?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-operations-10-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, cost-effective data quality pass on training compliance records — specifically when you want all three of quality auditing, deduplication, and IQR outlier detection in a single $0.01 call without any external data lookups or predictions. Ideal for pre-processing LMS exports, HR reporting pipelines, or validating compliance data before dashboard ingestion. Not suitable if you need live data enrichment, predictive analytics, or more than 200 rows per call.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, team_group, date, completed_courses, assigned_courses) cause validation error
- Invalid date format not matching YYYY-MM-DD pattern
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Empty rows array rejected
- Invalid field enum value (must be 'completed_courses' or 'assigned_courses')
- Payment of 0.01 USDC not fulfilled via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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