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Duplicate Observations Analytics — Base-100 Series + Date by Category Pivot
x402
Duplicate Observations Analytics — Base-100 Series + 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 2026-10-18).
Generates two analytical reports (Base-100 indexed series and a date-by-category pivot) from supplied duplicate observation row data, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Base-100 series + Date by category pivot: Base-100 series + 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 analytical reports computed from the supplied rows: (1) a Base-100 rebase series normalizing the chosen field (duplicate_rows or total_rows) relative to the record at base_index, and (2) a date-by-category pivot table cross-tabulating the chosen field by date and dataset_group. Covers up to 200 input rows with no external data lookups.
Example use cases
Data pipeline duplicate rate trending
“I have daily duplicate row counts and total row counts for three pipeline groups across October — can you generate a base-100 trend and a date-by-category pivot on the duplicate_rows field, starting the index from row 0?”
Data quality audit across dataset groups
“I want to compare how duplicate counts have evolved across dataset groups A and B over the past week — give me both the rebased-to-100 series and a pivot table showing duplicates by date and group, using the duplicate_rows metric.”
Baseline comparison for deduplication effort
“After we ran our deduplication job, I have before-and-after row counts — can you produce a base-100 indexed series and a date-by-category pivot on total_rows so I can see the relative improvement per group over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of duplicate observation data (with duplicate_rows and total_rows per date and group) and need both a normalized base-100 trend series AND a date-by-category pivot in a single low-cost call. It is a self-contained analytical engine requiring no live lookups or external data, making it ideal for reproducible, offline data quality reporting.
Side effects
- Fewer than 1 row or more than 200 rows submitted — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) or exceeds supplied row count — index error
- Null or missing required fields (row_id, dataset_group, date) — schema error
- Non-numeric values for duplicate_rows or total_rows — type validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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