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Savings Ledger — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Savings Ledger — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill 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).
Computes a secondary-measure weighted mean and fills missing values in savings ledger records (deposit_amount, withdrawal_amount) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill 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 2 analytical reports per call: a secondary-measure weighted mean calculation and an explicit missing-value fill result for the specified field (deposit_amount or withdrawal_amount), computed locally across up to 200 supplied savings ledger rows. No external data is fetched or predicted.
Example use cases
Monthly savings deposit analysis
“I have my savings ledger for October with rows across group-a and group-b — some deposit_amount entries are null. Please fill those missing deposits using the median method and then compute a weighted mean of deposit_amount across all 150 rows.”
Withdrawal data gap filling
“My savings ledger has about 80 rows but several withdrawal_amount values are missing. Can you fill them in using zero imputation and then run a secondary-measure weighted mean on withdrawal_amount so I can see the weighted average across instrument groups?”
Multi-group savings performance summary
“I've got 200 savings ledger records across multiple instrument groups with some null deposit amounts. Use mean fill for the missing values and give me a weighted mean report on deposit_amount — I need 2 reports from the same data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have savings ledger data (deposit/withdrawal records) with missing numeric values and need both missing-value imputation and a secondary-measure weighted mean in a single call. It is ideal for offline/batch statistical analysis of up to 200 rows at low cost ($0.01 USDC for 2 reports). Prefer this over general-purpose analytics tools when you specifically need weighted mean computation paired with structured missing-value fill on financial ledger data without any live lookup or external data dependency.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, instrument_group, date) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Invalid enum value for field or method parameters
- All values for the target field are null — weighted mean may be undefined
- Numeric values outside the allowed range (±1,000,000,000,000) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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