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Data Reconciliation Analytics — Record Quality Audit, Exact Row Deduplication & Numeric Interval Filter
x402
Data Reconciliation Analytics — Record Quality Audit, Exact Row Deduplication & 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).
Runs three independent analytical reports on data reconciliation records: a record quality audit, exact row deduplication, and a numeric interval filter — all processed locally against up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 highlighting missing, null, or malformed field values; (2) an exact row deduplication report identifying rows that are identical across all fields; and (3) a numeric interval filter report listing rows where the selected numeric field (source_total or target_total) falls within the specified minimum–maximum range. All computations are performed locally on the supplied data with no external lookups.
Example use cases
Pre-load reconciliation data quality check
“Before I load these 50 reconciliation rows into the warehouse, can you audit record quality, flag exact duplicates, and filter out any rows where source_total is outside the range 0 to 1000000? Here's my CSV data with row_id, dataset_group, date, source_total, and target_total fields.”
Duplicate detection in finance batch
“I've got a batch of 120 finance reconciliation records and I suspect some rows got duplicated during the export. Can you run the exact row deduplication and record quality audit on them, and also filter target_total between -50000 and 50000?”
ETL pipeline reconciliation validation
“After our nightly ETL run, I need to validate the reconciliation output — please run all three reports (quality audit, deduplication, and numeric interval filter on source_total between 100 and 999999) across these 80 rows from the pipeline_output group dated 2024-03-15.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three specific reconciliation-focused analytical reports in a single paid call: record quality auditing, exact deduplication, and numeric range filtering — all applied to source/target reconciliation pairs. It is ideal for data engineers validating ETL outputs, finance teams checking batch exports, or any workflow where you need a quick, cheap ($0.01 USDC) multi-report pass over up to 200 rows without making external API calls or requiring a prediction model.
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, source_total, or target_total) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 — rejected by schema bounds
- Empty rows array — rejected by minItems:1 constraint
- minimum greater than maximum for the interval filter — logically produces empty filter result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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