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Event Attendance Duplicate Key Report
x402
Event 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 2026-10-19).
Detects duplicate row_id keys in a batch of event attendance records and returns a data-quality report identifying which keys appear more than once.
Price / call$0.01
Success—
StatusUnknown
How this service works
Event attendance - Duplicate key report: Duplicate key report for Event 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 in the submitted batch, along with relevant occurrence details, produced entirely through local numeric and data-quality processing without external enrichment.
Example use cases
Pre-import deduplication check
“Before I import these 150 event attendance records into our system, can you scan them for any duplicate row IDs and give me a report of which ones appear more than once?”
Audit conference attendance dataset
“I've got attendance data for our annual conference — rows with row_id, event_type, date, registrations, and attendees fields — can you run a duplicate key check and flag any row_ids that show up more than once?”
Validate merged event data feeds
“We merged attendance records from two sources and now have up to 200 rows. Can you check for duplicate row IDs in this combined dataset so we can clean it up before analysis?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-key-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) server-side duplicate key check on event attendance records specifically, with up to 200 rows per call, and want a structured deliverable rather than writing your own deduplication logic. Ideal for pre-import validation pipelines or data-quality audits on attendance datasets.
Side effects
- Batch exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, event_type, date, registrations, attendees) — row rejected
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Empty rows array (minItems:1 not met) — request rejected
- Payment failure via x402 protocol — call not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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