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Data Reconciliation Analytics: Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram
x402
Data Reconciliation Analytics: Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram 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 reconciliation data (source_total vs target_total): a record quality audit, exact row deduplication check, and equal-width histogram — all locally, with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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, format issues, and anomalies across all fields; (2) an exact row deduplication report identifying duplicate rows in the dataset; and (3) an equal-width histogram over the chosen field (source_total or target_total) using the specified number of bins (1–30). All computed locally with no external data access.
Example use cases
ETL pipeline reconciliation quality check
“I've got 150 rows of ETL reconciliation data with source_total and target_total values across two dataset groups — can you run a record quality audit, deduplicate any exact duplicate rows, and give me a 5-bin histogram on source_total so I can spot any distribution issues before the month-end close?”
Financial data deduplication before reporting
“Before I submit the quarterly report, run an exact row deduplication and record quality audit on my 80 reconciliation records — here's the data with row_id, date, dataset_group, source_total, and target_total — and also generate a 10-bin equal-width histogram on target_total so I can see the spread.”
Data engineering dataset validation
“Can you audit the quality, find exact duplicate rows, and build a 7-bin histogram on the source_total field for this batch of 200 reconciliation records from our data warehouse sync? I need all three reports in one shot.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports (quality audit, deduplication, histogram) on reconciliation data in a single $0.01 call, processing up to 200 rows locally without any external lookups or live data access. Prefer it over single-report endpoints when you need all three analyses simultaneously on source/target reconciliation pairs. Not suitable for predictive analytics, live data retrieval, or datasets exceeding 200 rows.
Side effects
- More than 200 rows submitted — request rejected, maxItems limit exceeded
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value outside 1–30 range — request rejected
- source_total or target_total outside ±1,000,000,000,000 — schema validation failure
- field enum value other than 'source_total' or 'target_total' — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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