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Data Reconciliation: Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes
x402
Data Reconciliation: Record Quality Audit + Exact Row Deduplication + Adjacent Row Changes 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 local analytical reports on reconciliation row data (source_total vs target_total): a record quality audit, exact row deduplication check, and adjacent row change detection, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Exact row deduplication + Adjacent row changes: Record quality audit + Exact row deduplication + Adjacent row changes 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: (1) a record quality audit flagging nulls, formatting issues, and field completeness; (2) an exact row deduplication report identifying identical records; and (3) an adjacent row changes report showing value differences between consecutive rows — all computed locally without external lookups.
Example use cases
Daily finance reconciliation sanity check
“I have 50 rows of daily finance reconciliation data with source_total and target_total amounts by group — can you run a record quality audit, find any exact duplicate rows, and show me what changed between adjacent rows? Use the source_total field for analysis.”
ETL pipeline output validation
“After our nightly ETL run I have a batch of up to 150 reconciliation records in groups like 'warehouse' and 'staging', each with a date, source_total, and target_total — please audit them for quality, deduplicate exact matches, and flag adjacent row changes on the target_total field.”
Detect duplicate entries before reporting
“Before I generate our monthly report, can you check these 80 reconciliation rows — grouped by region and dated through last month — for any quality problems, exact duplicates, and what shifted between consecutive rows? Analyze against source_total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-217?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous reconciliation-focused analytical reports — quality audit, deduplication, and adjacent-change detection — on a small-to-medium dataset (up to 200 rows) of source/target total pairs, without needing external data lookups, predictions, or live enrichment. It is especially useful as a lightweight, low-cost ($0.01 USDC) batch validation step in ETL pipelines or financial reconciliation workflows.
Side effects
- Exceeding 200 rows causes request rejection
- Missing required fields (row_id, dataset_group, date, source_total, target_total) per row triggers validation error
- Invalid date format (non-YYYY-MM-DD) causes schema rejection
- Values outside ±1,000,000,000,000 range rejected by schema
- Payment failure (insufficient USDC) prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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