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Data Reconciliation Analytics — Category Frequencies & Numeric Interval Filter
x402
Data Reconciliation Analytics — Category Frequencies & Numeric Interval Filter 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).
Analyzes data reconciliation records (source_total vs target_total) by computing category frequencies across dataset groups and filtering rows by a numeric interval, returning two bundled local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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 bundled analytical reports: (1) a category frequency table showing how often each dataset_group value appears in the supplied records, and (2) a filtered row set containing only records where the chosen field (source_total or target_total) falls within the specified minimum–maximum numeric interval. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline reconciliation audit
“I just ran my nightly ETL and have 150 reconciliation rows with source_total and target_total across three dataset groups. Can you show me the frequency of each dataset group and filter to rows where source_total falls between 0 and 500 so I can spot any anomalies?”
Finance team source-target discrepancy review
“We have 80 reconciliation records from last month's close, grouped into 'ledger-A' and 'ledger-B'. Can you run both reports — category frequencies by group and filter target_total between 1000 and 250000 — so we can see where the volumes concentrate?”
Data quality check after migration
“After our database migration I have 200 rows with source_total and target_total tagged by dataset group. Please give me the category frequency breakdown and filter to rows where source_total is between -5000 and 0 so I can catch any negative-balance issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-101?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data reconciliation records with source and target totals grouped by category, and need both a frequency distribution of those categories AND a numeric interval filter in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline analytical passes on reconciliation data without requiring a live data warehouse or BI tool. Prefer it over general-purpose analytics APIs when you specifically need these two bundled reconciliation-oriented reports and want deterministic local computation with no external data dependencies.
Side effects
- More than 200 rows submitted — request rejected, must send ≤200 rows
- Missing required fields (row_id, dataset_group, date, source_total, or target_total) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- minimum greater than maximum — interval filter may return empty result set
- row_id or dataset_group exceeds 80 characters — validation error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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