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Data Reconciliation Analytics — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Data Reconciliation Analytics — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Runs three local analytical reports on reconciliation data (source_total vs target_total): a record quality audit, exact row deduplication, and numeric row ordering — all for up to 200 rows at $0.01 USDC per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering 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 analytical reports for the submitted reconciliation rows: (1) a record quality audit flagging data issues, (2) an exact row deduplication report identifying and removing duplicate rows, and (3) a numeric row ordering report sorting rows by the selected field (source_total or target_total). All computed locally with no external lookups.
Example use cases
Financial reconciliation data quality check
“I have 50 reconciliation records with source_total and target_total for different dataset groups from last quarter — can you audit the record quality, remove exact duplicate rows, and sort them numerically by source_total so I can review them?”
Detecting duplicate rows in ERP export
“We exported 150 rows from our ERP system with row IDs, dates, and source/target totals by department group — run deduplication, a quality audit, and numeric ordering on this data using the target_total field.”
Pre-migration data validation for ETL pipeline
“Before we migrate this dataset, I need to validate record quality, deduplicate exact matches, and get rows ordered numerically — here are 80 reconciliation rows each with a row_id, date, dataset_group, source_total, and target_total. Analyze source_total please.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous local analytical operations — quality audit, deduplication, and numeric ordering — on reconciliation records containing source and target totals, without requiring any external data lookups or AI-generated predictions. It is cost-effective at $0.01 for all three reports on up to 200 rows and is ideal for ETL validation, financial reconciliation checks, or pre-migration data hygiene.
Side effects
- Rows array empty or exceeds 200 items — validation error
- Missing required fields (row_id, dataset_group, date, source_total, target_total) in any row — schema validation failure
- Date not matching YYYY-MM-DD pattern — rejected
- source_total or target_total outside ±1,000,000,000,000 range — validation error
- Payment of 0.01 USDC not provided via x402 protocol — 402 Payment Required
- 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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