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Savings Ledger — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Savings Ledger — Record Quality Audit + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Audits data quality of savings ledger records and computes a weighted mean on a chosen numeric field (deposit_amount or withdrawal_amount) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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 analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range amounts, or malformed dates across the supplied rows; and (2) a weighted mean calculation for the selected numeric field (deposit_amount or withdrawal_amount). All computation is performed locally with no external lookups or live data.
Example use cases
Monthly savings data quality check
“I have 120 rows of savings ledger data with deposits and withdrawals for October 2026 — can you audit them for data quality issues and also give me the weighted mean of deposit_amount across all the rows?”
Grouped instrument savings analysis
“Run a record quality audit and weighted mean on withdrawal_amount for my savings ledger — I've got about 80 rows split across instrument groups A and B, and I want both reports together.”
Pre-reporting ledger validation
“Before I finalize our savings report, can you check these 200 ledger rows for data quality problems and compute the weighted mean of deposit_amount so I know the data is clean and I have the right summary stat?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean statistic on savings ledger data in a single low-cost call. It is ideal for batch validation of up to 200 deposit/withdrawal records where no external data enrichment, live lookup, or prediction is needed — purely local analytical computation on supplied data.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, instrument_group, date, deposit_amount, or withdrawal_amount) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field selector (not 'deposit_amount' or 'withdrawal_amount') — enum rejection
- All values null for the selected field — weighted mean cannot be computed
- Payment not included or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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