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Savings Ledger Daily Sum Series with Missing-Value Fill
x402
Savings Ledger Daily Sum Series with 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 daily sum time series and fills explicit missing values for savings ledger records containing deposit and withdrawal amounts (up to 200 rows, 2 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Daily sum series + Explicit missing-value fill: Daily sum series + 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 two analytical reports: (1) a daily sum time series aggregating the specified field (deposit_amount or withdrawal_amount) per date, and (2) an explicit missing-value fill report substituting nulls in the selected field using the chosen method (zero, mean, or median). Both reports are derived from the supplied rows without external lookups.
Example use cases
Monthly savings deposit trend analysis
“I have 120 rows of savings ledger data with dates, instrument groups, deposits, and withdrawals. Can you compute a daily sum series on deposit_amount and fill in any gaps using median so I can see how my savings deposits trended each day?”
Withdrawal aggregation with zero-fill for missing days
“Here are my savings ledger records for the past quarter — about 80 rows. Give me a daily sum series for withdrawal_amount and fill any missing withdrawal values with zero.”
Multi-group savings ledger daily totals
“I have savings ledger entries split across two instrument groups, about 150 rows total. Can you run a daily sum series on deposit_amount across those groups and use mean to fill any missing values, and give me both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of savings ledger data and need both a daily sum time series and missing-value imputation in a single $0.01 USDC call. It is purpose-built for deposit_amount and withdrawal_amount fields grouped by instrument_group and date, with no need for external data or live lookups. Prefer it over general-purpose analytics APIs when working within personal finance or savings ledger data pipelines that need lightweight, offline-safe computation.
Side effects
- Exceeding 200 rows returns an error — caller must batch data
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Missing required fields (row_id, date, instrument_group, deposit_amount, withdrawal_amount) cause rejection
- Values outside ±1,000,000,000,000 are rejected
- Specifying a field not in the enum (deposit_amount/withdrawal_amount) causes an error
- Specifying a method not in the enum (zero/mean/median) causes an error
- Empty rows array (minItems:1 violated) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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