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Savings Ledger — Record Quality Audit + Keyed Dataset Comparison
x402
Savings Ledger — Record Quality Audit + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs two local analytical reports on savings ledger rows: a data quality audit and a keyed comparison between two supplied datasets, covering deposit and withdrawal amounts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied savings ledger records (deposit_amount, withdrawal_amount). 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 structured reports: (1) a record quality audit identifying data issues such as null values, out-of-range amounts, malformed dates, or missing required fields across supplied rows; and (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets matched on row_id, highlighting changes in deposit_amount and withdrawal_amount.
Example use cases
Pre-migration savings ledger validation
“Before we migrate our savings data to the new system, can you run a quality audit on these 80 ledger rows covering deposits and withdrawals, and flag any nulls, bad dates, or malformed entries?”
Reconciling two ledger exports
“I have two exports of our savings ledger from different systems — can you compare them row by row using the row_id as the key and tell me where the deposit_amount or withdrawal_amount values differ between the two?”
Monthly ledger QA before reporting
“We're closing out the month and I need to quality-check our savings ledger before sending the report — can you audit these 120 rows for data issues and also compare them against last month's snapshot to highlight any changed figures?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, purely local data quality checks and row-keyed comparison of savings ledger data (deposits and withdrawals) without any external lookups, predictions, or professional assessments. Ideal for pre-migration validation, reconciliation between two ledger snapshots, or periodic quality gating before downstream reporting. Best suited for batches up to 200 rows where two bundled reports are needed at low cost.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, date, deposit_amount, withdrawal_amount) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Amounts outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems:1 not met) causes request failure
- No external data fetching so stale or incorrect input data yields misleading results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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