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Data Reconciliation — Record Quality Audit + Grouped Numeric Summary
x402
Data Reconciliation — Record Quality Audit + Grouped Numeric Summary 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 up to 200 data reconciliation rows: a record quality audit and a grouped numeric summary for source_total and target_total fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 record quality audit flagging issues such as nulls, format errors, or anomalies across the supplied rows; and (2) a grouped numeric summary aggregating the chosen field (source_total or target_total) by dataset_group. Both reports are generated from the supplied data with no external lookups.
Example use cases
Monthly finance reconciliation audit
“I have 120 rows from our monthly finance reconciliation — each with a row_id, date, dataset_group, source_total, and target_total. Can you run a record quality audit and a grouped numeric summary on them using source_total as the field, so I can spot data issues before we close the books?”
ETL pipeline output validation
“After running our ETL pipeline, I have 80 reconciliation records with source and target totals split across groups like 'warehouse' and 'crm'. Can you audit the record quality and give me a grouped numeric summary using target_total so I can confirm the output is clean?”
Cross-system data discrepancy review
“We're comparing data between two systems and I have 200 reconciliation rows with dataset_group, date, source_total, and target_total. Please run both the record quality audit and the grouped numeric summary on source_total so I can see where the discrepancies are concentrated by group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a grouped numeric summary in a single low-cost call ($0.01 USDC) on a batch of up to 200 reconciliation rows with source and target totals. It is ideal for ETL validation, finance reconciliation checks, and cross-system comparison workflows where no external data lookup or prediction is needed — only local analytical processing of supplied data.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error returned
- Date field not in YYYY-MM-DD format — schema validation failure
- Numeric values outside the ±1,000,000,000,000 range — schema rejection
- Empty rows array — minimum items constraint violated
- Invalid field enum value (not source_total or target_total) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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