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Data Reconciliation — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary
x402
Data Reconciliation — Record Quality Audit + Exact Row Deduplication + 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 three analytical reports on up to 200 reconciliation rows: a record quality audit, exact row deduplication, and a grouped numeric summary of source vs. target totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports: (1) a record quality audit flagging missing, null, or malformed fields; (2) an exact row deduplication report identifying identical records; and (3) a grouped numeric summary aggregating source_total or target_total by dataset_group. All computed locally with no external lookups.
Example use cases
ETL pipeline reconciliation quality check
“I just exported 150 rows from our ETL reconciliation run. Can you audit the record quality, find any exact duplicate rows, and give me a grouped numeric summary of source_total by dataset_group so I can see where the totals don't line up?”
Finance team source vs target discrepancy review
“We have a set of 80 daily reconciliation records with source_total and target_total values across three dataset groups. Run the quality audit, deduplication check, and grouped summary on target_total so we can spot any discrepancies before month-end close.”
Data migration validation before cutover
“Before we cut over to the new system, I need to validate our reconciliation data — can you run the three analytical reports (quality audit, exact duplicate detection, and grouped numeric summary of source_total) on these 200 migration records grouped by region and date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-211?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, low-cost ($0.01) batch analysis of reconciliation data covering quality, deduplication, and grouped aggregation in a single call — especially when working with up to 200 rows of source/target numeric data that don't require live lookups, ML prediction, or external data enrichment. Ideal for ETL validation, finance reconciliation reviews, and data migration pre-checks.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems: 1) returns an error
- Invalid field enum value (not source_total or target_total) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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