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Duplicate Observations: Exact Row Deduplication + Date-by-Category Pivot
x402
Duplicate Observations: Exact Row Deduplication + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Runs two local analytical reports on supplied duplicate-observation records: exact row deduplication and a date-by-category pivot table, for up to 200 rows at once.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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) an exact row deduplication result identifying and removing identical records from the supplied dataset, and (2) a pivot table cross-tabulating the selected numeric field (duplicate_rows or total_rows) by date and dataset_group category — all computed locally without any external lookup or live data.
Example use cases
Data pipeline duplicate audit
“I've got 150 rows of daily duplicate-observation data across four dataset groups — can you deduplicate them exactly and give me a pivot of duplicate_rows by date and group so I can see where duplication spikes?”
Monthly data quality review
“Here are our duplicate observation records for last month, with row IDs, dates, group names, and duplicate/total row counts — run exact row deduplication and a date-by-category pivot on total_rows so I can summarize data quality by group over time.”
ETL validation report
“After our ETL run I have up to 200 observation records tagged with dataset_group and date, each showing duplicate_rows and total_rows — can you deduplicate the exact rows and pivot duplicate_rows by date and category so I can validate the pipeline output?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of duplicate-observation records with date, category group, and numeric duplicate/total counts, and you need both exact deduplication and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for data quality audits, ETL validation, and pipeline monitoring where you supply the data locally and need two structured analytical reports without any external API dependency or live lookup.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, duplicate_rows, total_rows) on any row — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array (minItems:1 not met) — error
- Invalid field enum value (not 'duplicate_rows' or 'total_rows') — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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