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Duplicate Observations Analytics — Date-by-Category Pivot + Keyed Dataset Comparison
x402
Duplicate Observations Analytics — Date-by-Category Pivot + Keyed Dataset Comparison 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).
Runs two local analytical reports on duplicate observation records: a date-by-category pivot table and a keyed comparison between two datasets, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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 date-by-category pivot table showing the selected field (duplicate_rows or total_rows) broken down by date and dataset_group, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary supplied datasets, row by row. All analysis is performed locally with no external lookups.
Example use cases
Pipeline data quality audit
“I ran our ETL pipeline twice with different configs and captured duplicate_rows and total_rows per dataset_group per day. Can you pivot the first run by date and category, then compare it row-by-row against the second run to see where duplicate counts diverged? I'm analyzing the duplicate_rows field.”
Weekly duplicate trend cross-tab
“Here are this week's duplicate observation logs for groups A and B across 5 dates — each entry has a row_id, dataset_group, date, duplicate_rows, and total_rows. Give me a date-by-category pivot and also compare against last week's records to flag any changes in duplicate_rows.”
Pre/post dedup process comparison
“Before and after running our deduplication job, I collected duplicate_rows and total_rows per group per day. Can you pivot the before-snapshot by date and dataset_group, and then do a keyed comparison against the after-snapshot so I can see which groups improved the most on duplicate_rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-188?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a date-by-category pivot AND a keyed comparison between two duplicate-observation datasets in a single API call for up to 200 rows. It is ideal for data quality auditing workflows where you want to cross-tab duplicate counts over time and simultaneously diff two versions of the same dataset. Prefer this over generic analytics tools when your data already conforms to the duplicate_rows/total_rows/dataset_group/date schema and you want a low-cost ($0.01 USDC), offline, no-external-lookup analysis.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values out of allowed range — rejected
- Empty rows array — minimum 1 item required
- Payment not supplied or insufficient USDC — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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