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Data Reconciliation Analytics: Category Frequencies + Date-by-Category Pivot
x402
Data Reconciliation Analytics: Category Frequencies + 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).
Generates two analytical reports — category frequency counts and a date-by-category pivot table — from supplied data reconciliation records containing source and target totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Category frequencies + Date by category pivot: Category frequencies + 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
Two independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied rows, and (2) a date-by-category pivot table aggregating the selected field (source_total or target_total) broken down by date and dataset_group. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline discrepancy analysis
“I have up to 150 rows of ETL reconciliation records with source_total and target_total values across different pipeline groups and dates in Q3 — can you run category frequency counts and a date-by-category pivot on source_total so I can see where my groups cluster and how values distribute over time?”
Finance team source-vs-target audit
“Our finance team needs to reconcile ledger entries: I have records tagged with dataset groups like 'accounts-payable' and 'accounts-receivable' with source and target totals by date — please generate a category frequency breakdown and a date-by-group pivot for target_total across all 80 rows.”
Data migration validation summary
“We just migrated data across systems and I want to validate coverage — run a category frequencies report and a date-by-category pivot on source_total for our 200 migration reconciliation records so we can spot which groups have the most records and how they spread across migration dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-110?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a category frequency distribution and a date-by-category pivot table computed together from reconciliation records in a single low-cost call. It is purpose-built for data reconciliation scenarios with source_total and target_total fields, making it ideal for ETL audits, financial reconciliation summaries, and migration validation — all without any external data lookup or ML inference.
Side effects
- Fewer than 1 row supplied — minimum row count validation error
- More than 200 rows supplied — exceeds maxItems limit, request rejected
- date field not in YYYY-MM-DD format — pattern validation failure
- source_total or target_total outside ±1,000,000,000,000 range — numeric bounds error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — schema validation error
- Invalid field enum value (not 'source_total' or 'target_total') — rejected with enum error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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