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Data Reconciliation — Record Quality Audit + Base-100 Series
x402
Data Reconciliation — Record Quality Audit + Base-100 Series 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 two analytical reports (record quality audit and Base-100 index series) on up to 200 supplied data reconciliation rows comparing source and target totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data reconciliation — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent reports: (1) a record quality audit covering completeness, nulls, and anomalies in the supplied reconciliation rows, and (2) a Base-100 index series normalizing the chosen field (source_total or target_total) relative to a specified base row. Both reports are generated locally from the supplied data with no external lookups.
Example use cases
Monthly finance reconciliation quality check
“I need to audit the quality of my monthly finance reconciliation data and get a base-100 indexed series for the source_total field. I have 12 rows, one per month in 2025, split between 'revenue' and 'costs' groups — can you run both reports starting from index row 0?”
ETL pipeline source vs target drift analysis
“Can you run a record quality audit and a Base-100 series on my ETL pipeline reconciliation output? I've got 50 rows from January through March 2026 across dataset groups 'pipeline-A' and 'pipeline-B', comparing source_total and target_total, indexed from row 0.”
Weekly sales data group comparison
“I want to check data quality and see a base-100 trend for my weekly sales reconciliation records — 8 weeks of data across 'north-region' and 'south-region' groups, using target_total as the indexed field, starting from base index row 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — a record quality audit and a Base-100 index series — on reconciliation data (source vs. target totals) without any external data lookups or live connections. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over single-report endpoints when you need both quality and indexing outputs in one call from purely supplied data.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, source_total, target_total) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) — error returned
- source_total or target_total outside allowed range (±1,000,000,000,000) — schema rejection
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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