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Data Reconciliation Analytics: Category Frequencies + Daily Sum Series
x402
Data Reconciliation Analytics: Category Frequencies + Daily Sum Series 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).
Computes two analytical reports — category frequency distribution and daily sum time series — for supplied data reconciliation records comparing source and target totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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 independent analytical reports: (1) a category frequency distribution showing how often each dataset_group appears in the supplied records, and (2) a daily sum time series aggregating the selected field (source_total or target_total) by date across all rows. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline reconciliation audit
“I've got 120 reconciliation records from our ETL run — each has a date, dataset group, source total, and target total. Can you compute the category frequencies by group and the daily sum series for source_total so I can spot where things don't line up?”
Finance team daily variance summary
“Run both the category frequency breakdown and the daily sum series on these 80 finance reconciliation rows using the target_total field — I need to see how totals accumulate day by day and which groups are most frequent.”
Data quality monitoring across groups
“I have 200 rows of reconciliation data across several dataset groups with dates ranging across October. Can you give me the category frequency report and the daily sum series for source_total so I can monitor data quality trends?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-102?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two quick local analytical summaries — category frequency counts and a daily sum time series — on reconciliation data you already have in hand (up to 200 rows), without needing live lookups, predictions, or external data enrichment. It is cost-effective at $0.01 USDC for both reports in a single call. Prefer alternatives if you need more than 200 rows, require string normalization, deduplication, outlier detection, or other report types available in the sibling endpoints.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum limit
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — validation error
- Invalid field enum value (not source_total or target_total) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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