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Savings Ledger — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Savings Ledger — Exact Row Deduplication + Secondary-Measure Weighted Mean 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).
Deduplicates savings ledger rows and computes a secondary-measure weighted mean over deposit_amount or withdrawal_amount fields for up to 200 rows, returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean 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 analytical reports per call: (1) an exact row deduplication report identifying and removing duplicate savings ledger records, and (2) a secondary-measure weighted mean computed over the selected field (deposit_amount or withdrawal_amount). All processing is performed locally on the supplied data with no external lookups or predictions.
Example use cases
Deduplicating bank deposit records
“I've exported 150 rows of savings ledger data with some exact duplicates — can you clean out the duplicate rows and give me a weighted mean on the deposit_amount? Here's the full list with row IDs, dates, instrument groups, and both deposit and withdrawal amounts.”
Weighted withdrawal analysis by group
“I need two reports on my savings ledger: first deduplicate any exact duplicate rows, then calculate a secondary-measure weighted mean on the withdrawal_amount. I have about 80 records spread across group-a and group-b with dates and amounts.”
Pre-reconciliation ledger cleanup
“Before I reconcile our accounts, can you run deduplication and a weighted mean on these 200 savings ledger rows? Use the deposit_amount as the field for the weighted mean. I'll pass you all the row IDs, dates, instrument groups, and figures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and a secondary-measure weighted mean on savings ledger data (deposits and withdrawals) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where all data is supplied directly and no live data fetching, prediction, or external validation is required. At $0.01 USDC for two reports, it is cost-efficient for routine ledger cleanup and statistical summarization tasks.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, instrument_group, date, deposit_amount, withdrawal_amount) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema validation error
- Providing an invalid field enum value (not deposit_amount or withdrawal_amount) returns an error
- Empty rows array (minItems:1 not met) causes a 400-level error
- Extreme numeric values outside ±1,000,000,000,000 are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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