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Savings Ledger — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Savings Ledger — Record Quality Audit + String Normalisation + 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 2026-11-02).
Audits data quality, normalises strings, and filters by numeric interval for savings ledger records with deposit and withdrawal amounts — up to 200 rows, 3 reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied savings ledger records (deposit_amount, withdrawal_amount). 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 for the supplied savings ledger rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report for the instrument_group and other string fields; and (3) a numeric interval filter report listing rows where the chosen field (deposit_amount or withdrawal_amount) falls within the specified minimum–maximum range.
Example use cases
Pre-import savings data validation
“I've got 150 rows of savings ledger data with deposit_amount and withdrawal_amount columns. Can you audit the record quality, normalise the instrument_group strings, and filter to only show rows where deposit_amount is between 0 and 500?”
Detecting bad withdrawal records
“Run a quality audit and numeric interval filter on my savings ledger — I want to flag any withdrawal_amount entries that fall outside the range of 0 to 10000, and also clean up any messy string values in the instrument_group field. Here are the 80 rows.”
Monthly savings reconciliation check
“Before I finalise my monthly savings report, can you check these 200 ledger rows for data quality issues, normalise the instrument group labels, and filter the deposit_amount field to only rows between 100 and 5000?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate and clean savings ledger data locally — no external lookups or live data required. It is ideal when you need all three analytical operations (quality audit, string normalisation, numeric interval filter) in a single low-cost call on up to 200 rows of deposit/withdrawal records. Prefer it over general-purpose data tools when working specifically with savings ledger schemas (deposit_amount, withdrawal_amount, instrument_group).
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, deposit_amount, withdrawal_amount) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- Minimum greater than maximum causes an interval configuration error
- Empty rows array returns a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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