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Savings Ledger — String Normalisation + Duplicate Key Report
x402
Savings Ledger — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs two local analytical reports on savings ledger records: string normalisation of text fields and duplicate row_id detection, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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 independent reports for the submitted savings ledger rows: (1) a string normalisation report showing cleaned/standardised versions of text fields such as row_id and instrument_group, and (2) a duplicate key report identifying any row_id values that appear more than once across the submitted rows. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Deduplicating monthly savings imports
“I just imported 180 savings ledger rows from our accounting system and I suspect there are duplicate row_ids from a double-import. Can you run a duplicate key report on these rows — they have row_id, instrument_group, date, deposit_amount, and withdrawal_amount fields — and tell me which keys appear more than once?”
Normalising instrument group labels
“Our savings ledger has inconsistent capitalisation and spacing in the instrument_group and row_id columns across about 120 rows. Can you run a string normalisation report on these records so all the text fields are cleaned up consistently?”
Pre-reconciliation data quality check
“Before I reconcile our savings ledger for Q3, I want to check 200 rows for both duplicate row IDs and any string inconsistencies in the instrument_group field. Can you run both the string normalisation and duplicate key reports on this batch?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate and clean a batch of savings ledger records (up to 200 rows) by standardising string fields and identifying duplicate row keys in a single low-cost call. It is ideal for pre-reconciliation data quality checks, post-import deduplication, or routine ledger hygiene tasks where no live data lookup, prediction, or external action is required. It is not suitable for large batches over 200 rows, real-time transaction validation, or analytical tasks beyond string normalisation and duplicate key detection.
Side effects
- Fewer than 1 row submitted — validation error returned
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, date, deposit_amount, withdrawal_amount, instrument_group) — schema validation failure
- Invalid date format not matching YYYY-MM-DD pattern — rejection
- row_id exceeding 80 characters — field validation error
- deposit_amount or withdrawal_amount outside allowed numeric range — rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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