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Savings Ledger — String Normalisation + Daily Sum Series
x402
Savings Ledger — String Normalisation + Daily Sum Series 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).
Runs string normalisation and daily sum series analysis on up to 200 savings ledger rows (deposit_amount, withdrawal_amount) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — String normalisation + Daily sum series: String normalisation + Daily sum series 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 reports: (1) a string normalisation report on the instrument_group field across all supplied rows, and (2) a daily sum series for the chosen field (deposit_amount or withdrawal_amount), both computed locally from the provided savings ledger data.
Example use cases
Clean and summarize savings deposits by day
“I've got 50 rows of savings ledger data with dates, deposit amounts, withdrawal amounts, and instrument group labels. Can you normalize the instrument_group strings and give me a daily sum series for deposit_amount?”
Daily withdrawal totals for savings audit
“I need to audit our savings ledger — here are 120 rows with row IDs, dates, deposit and withdrawal amounts, and instrument groups. Please run string normalisation on the instrument_group field and produce a daily sum series for withdrawal_amount.”
Savings ledger QA for finance reporting
“We're preparing a finance report and I have a savings ledger with 80 rows. Can you normalize the instrument_group strings and compute the daily sum series for deposit_amount so I can spot trends?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation on instrument group labels and a daily sum aggregation on deposit or withdrawal amounts from savings ledger records in a single $0.01 call, without requiring any external lookups, predictions, or live data — ideal for offline batch analytics on up to 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, instrument_group, deposit_amount, withdrawal_amount) — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside allowed range — schema rejection
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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