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Savings Ledger — String Normalisation + Date by Category Pivot
x402
Savings Ledger — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).
Performs string normalisation and a date-by-category pivot analysis on up to 200 savings ledger rows (deposit_amount or withdrawal_amount), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — String normalisation + Date by category pivot: String normalisation + Date by category pivot 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
Two analytical reports: (1) a string normalisation report cleaning instrument_group and related text fields, and (2) a date-by-category pivot table aggregating the selected numeric field (deposit_amount or withdrawal_amount) across dates and instrument groups. No external data, predictions, or professional assessments are included.
Example use cases
Monthly savings deposit pivot by fund group
“I have 50 rows of savings ledger data for October with deposits and withdrawals split across three instrument groups — can you normalise the strings and give me a pivot table showing deposit_amount grouped by instrument group and date?”
Withdrawal trend breakdown for savings audit
“Can you run string normalisation and a date-by-category pivot on my savings ledger focusing on withdrawal_amount? I'll send you 120 rows with row IDs, dates, instrument groups, and withdrawal figures.”
Comparing two savings instruments over a quarter
“I have savings records for group-alpha and group-beta across 90 days — around 180 rows total. Can you normalise the data and pivot the deposit_amount by instrument group and date so I can compare performance over the quarter?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 savings ledger rows and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports). It is best suited for offline/batch analytical processing of savings account data with deposit and withdrawal amounts grouped by instrument category — with no need for live data lookup, predictions, or external enrichment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, instrument_group, date, deposit_amount, withdrawal_amount) causes request rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems:1 violated) returns an error
- Invalid field enum value (anything other than deposit_amount or withdrawal_amount) is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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