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Savings Ledger Analytics — String Normalisation & Grouped Numeric Summary
x402
Savings Ledger Analytics — String Normalisation & Grouped Numeric Summary 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 two local analytical reports on savings ledger rows: string normalisation of text fields and a grouped numeric summary of deposit/withdrawal amounts, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 text fields such as instrument_group, and (2) a grouped numeric summary (statistics like totals, counts, or aggregates) of the selected amount field (deposit_amount or withdrawal_amount) segmented by instrument_group, for up to 200 supplied ledger rows. No external data or predictions are included.
Example use cases
Monthly savings deposit analysis by account group
“I have 150 rows of savings ledger entries from October with deposit_amount, withdrawal_amount, instrument_group, and date columns — can you normalise the instrument_group strings and give me a grouped numeric summary of deposit_amount across the groups?”
Withdrawal pattern audit across instrument categories
“Run a string normalisation and grouped numeric summary on my savings ledger — I need to see withdrawal_amount totals and stats broken down by instrument_group across these 80 ledger rows.”
Savings data quality check before reporting
“Before I submit my savings report, can you clean up the instrument_group text fields and produce a grouped numeric summary of deposit_amount for my 60 ledger records, each with a row_id, date, deposit_amount, and withdrawal_amount?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and grouped numeric summarisation on savings ledger data (with deposit_amount and withdrawal_amount fields) in a single low-cost call, without needing live data lookup, predictions, or external integrations. Ideal for batch processing up to 200 rows of pre-collected savings records locally.
Side effects
- More than 200 rows submitted — request rejected
- Missing required fields (row_id, instrument_group, date, deposit_amount, withdrawal_amount) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Amount values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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