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Training Attendance Duplicate Key Report
x402
Training Attendance Duplicate Key Report 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).
Identifies duplicate row keys in a batch of training attendance records, returning a data-quality report of conflicting entries.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training attendance - Duplicate key report: Duplicate key report for Training attendance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded duplicate key report deliverable.
Output
A bounded duplicate key report listing which row_id values appear more than once within the submitted batch of up to 200 training attendance records, enabling downstream deduplication or rejection of conflicting entries.
Example use cases
Pre-import data quality check
“Before I load this week's training attendance into our LMS, can you scan these records for duplicate row keys? I'll give you up to 50 rows with course, date, attendees, and completions and need a report of any repeated IDs.”
Monthly attendance audit deduplication
“I'm auditing last month's training completions and suspect some rows got entered twice. Can you run a duplicate key report on these attendance records so I know which row_ids are colliding?”
Automated pipeline duplicate guard
“Our ETL pipeline collected training attendance data from multiple sources and may have merged duplicates. Run a duplicate key check on this batch of records — up to 150 rows — and tell me which row IDs appear more than once.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-training-attendance-key-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local data-quality check specifically for duplicate row keys in training attendance datasets of up to 200 records, with no need for external enrichment or forecasting. It is ideal as a lightweight pre-import validation step or as part of an ETL pipeline guard for course attendance data.
Side effects
- Batch exceeds 200 records — request rejected with validation error
- Missing required fields (row_id, course, date, attendees, completions) on any row — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Empty rows array — minItems constraint violation
- Malformed JSON payload — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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