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Duplicate Observations — Duplicate Key Report + Grouped Numeric Summary
x402
Duplicate Observations — Duplicate Key Report + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Analyzes supplied duplicate observation records to produce a duplicate key report and a grouped numeric summary of duplicate_rows and total_rows fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Duplicate key report + Grouped numeric summary: Duplicate key report + Grouped numeric summary for supplied duplicate observations records (duplicate_rows, total_rows). 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 duplicate key report identifying duplicate keys within the supplied observations, and (2) a grouped numeric summary of the selected numeric field (duplicate_rows or total_rows) aggregated by dataset_group — all computed locally without external lookups.
Example use cases
Audit duplicate rows across dataset groups
“I've got a batch of 50 dataset observation records with duplicate_rows and total_rows counts per group and date — can you give me a duplicate key report and a grouped numeric summary analyzing the duplicate_rows field across all groups?”
Monitor data quality trends over time
“Here are 120 daily observations from groups A through D over the past quarter, each with a date, duplicate_rows, and total_rows — can you run a grouped numeric summary on total_rows and produce a duplicate key report so I can spot which groups are dirtiest?”
Pre-pipeline data deduplication check
“Before I load this data into our warehouse, can you analyze these 80 rows of duplicate observation records and give me a duplicate key report plus a grouped numeric summary on the duplicate_rows field grouped by dataset_group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-056?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key report and a grouped numeric summary for supplied duplicate observation records in a single low-cost call ($0.01 USDC). It is ideal for data quality auditing workflows where you have up to 200 pre-assembled rows with duplicate_rows and total_rows fields and want fast, local-engine analytics without any external data lookups or predictions.
Side effects
- More than 200 rows submitted — only up to 200 rows are accepted
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes rejection
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) cause errors
- Invalid field selector (must be 'duplicate_rows' or 'total_rows') causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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