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Savings Ledger — String Normalisation + Explicit Missing-Value Fill
x402
Savings Ledger — String Normalisation + 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).
Normalises strings and fills missing values (zero, mean, or median) in savings ledger records containing deposit and withdrawal amounts, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — String normalisation + Explicit missing-value fill: String normalisation + 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
Two analytical reports covering the processed savings ledger rows: one covering string normalisation results and one covering the explicit missing-value fill applied to the specified field (deposit_amount or withdrawal_amount) using the chosen method (zero, mean, or median). No external lookups or predictions are made; all processing uses local analytical engines.
Example use cases
Clean savings export before analysis
“I've got a CSV export of my savings account with 150 rows — some deposit_amount entries are null and the instrument_group strings are inconsistent. Can you normalise the strings and fill the missing deposit_amount values using median so I can run my analysis cleanly?”
Zero-fill missing withdrawals for reconciliation
“I'm reconciling my savings ledger and have about 80 rows where some withdrawal_amount fields are blank. Please fill those missing values with zero and normalise the string fields, then give me the two reports.”
Mean imputation for savings data pipeline
“My data pipeline ingests savings ledger rows and occasionally gets null deposit_amount values. For this batch of 120 rows, apply string normalisation and fill any missing deposit_amount entries using the mean — I need the two cleaned reports to pass downstream.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have savings ledger tabular data (deposit and withdrawal amounts with instrument groups and dates) that needs both string normalisation and missing-value imputation in a single pass, and you want two structured reports back without any live data lookup, prediction, or external action. Best suited for small-to-medium batches up to 200 rows where a low-cost ($0.01 USDC) local processing call is sufficient.
Side effects
- Rows array empty or missing — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unrecognised fill method or field enum value — schema rejection
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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