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Ticket Escalations Duplicate Key Report
x402
Ticket Escalations 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 2026-10-13).
Detects duplicate row keys in a submitted batch of ticket escalation records (up to 200 rows) and returns a local descriptive analytics report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ticket escalations - Duplicate key report: Duplicate key report for Ticket escalations. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded duplicate key report report.
Output
A bounded duplicate key report listing which row_id values appear more than once within the submitted batch, along with descriptive analytics summarizing the extent of duplication across up to 200 ticket escalation records.
Example use cases
Pre-import data quality check
“Before I load this batch of 150 ticket escalation records into our system, can you run a duplicate key report to make sure none of the row IDs are repeated? Here are the rows with team, date, ticket counts, and escalation counts.”
Daily escalation log deduplication
“I pulled today's escalation log from three different teams — group-a, group-b, and group-c — and I'm worried some rows got double-counted. Can you scan these records for any duplicate row IDs and tell me which ones are repeated?”
Audit merged escalation datasets
“I merged two escalation exports covering October 2026 and I need to know if any row_ids collided in the merge. Can you run a duplicate key check on this combined dataset of about 80 rows with tickets and escalation counts per team per day?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-ticket-escalations-key-duplicates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local duplicate key detection report on a bounded batch of ticket escalation records (up to 200 rows) without requiring any external enrichment or forecasting. It is ideal for pre-import data quality checks, deduplication audits of merged escalation datasets, and validating ETL pipeline outputs where row uniqueness is critical.
Side effects
- Empty rows array (minItems:1 violated) returns validation error
- Rows exceeding 200 items (maxItems:200) triggers rejection
- Missing required fields (row_id, team, date, tickets, escalations) causes schema validation failure
- Malformed date format (not YYYY-MM-DD pattern) returns parsing error
- row_id exceeding 80 characters or being empty string fails minLength/maxLength constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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