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Data Reconciliation — Base-100 Series + Date-by-Category Pivot
x402
Data Reconciliation — 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 2026-10-19).
Runs two analytical reports on supplied reconciliation data: a base-100 indexed series for a chosen numeric field and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied data reconciliation records (source_total, target_total). 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 locally: (1) a base-100 normalized time series for the chosen field (source_total or target_total) relative to the specified base row index, and (2) a pivot table of values broken down by date and dataset_group category. No external lookups or predictions are made.
Example use cases
Monthly budget reconciliation analysis
“I've got 12 months of budget data with source_total and target_total for two cost centers — run a base-100 series on source_total starting from month 0 and give me a date-by-category pivot so I can see how each group drifts over the year.”
ETL pipeline output validation
“After our ETL run I have 80 rows with row IDs, dates, dataset groups, and both source and target totals — can you index the target_total field to a base of 100 starting at row 0 and pivot the data by date and category to spot discrepancies?”
Quarterly sales data comparison
“We have 40 rows of quarterly sales reconciliation across four regional groups with source and target totals — produce a base-100 index on source_total from row 0 and a date-by-category pivot so we can compare how each region tracks relative to the baseline.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 reconciliation records with source and target totals and need both a base-100 normalized trend series and a date-by-category pivot in a single $0.01 call. It is ideal for offline/supplied-data analytics with no need for external data fetching, live predictions, or professional assessments.
Side effects
- Fewer than 1 row or more than 200 rows provided — request rejected
- base_index out of range (0–199) relative to actual row count
- Invalid date format (must be YYYY-MM-DD)
- source_total or target_total values outside ±1,000,000,000,000 range
- Missing required fields (row_id, dataset_group, date, source_total, or target_total)
- Base row value is zero causing division-by-zero in base-100 calculation
- Payment not fulfilled — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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