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Savings Ledger — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Savings Ledger — Numeric Row Ordering + 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 2026-10-30).
Computes numeric row ordering (rank) and secondary-measure weighted mean on savings ledger records (deposit_amount, withdrawal_amount) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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 for the supplied savings ledger rows: (1) numeric row ordering (ranks) of each row by the specified field (deposit_amount or withdrawal_amount), and (2) a secondary-measure weighted mean where one measure is weighted by the other. Results are computed locally from the supplied data with no external lookups.
Example use cases
Rank savings deposits by amount
“I have a savings ledger with 10 transactions from October — each has a row ID, date, instrument group, deposit amount, and withdrawal amount. Can you rank them numerically by deposit_amount and also compute the weighted mean of deposit_amount using the withdrawal_amount as the secondary measure?”
Analyze withdrawal patterns across groups
“Here are 50 rows from our savings ledger spanning Q3, with instrument groups like 'retail' and 'institutional'. Please rank the rows by withdrawal_amount and compute the secondary-measure weighted mean for withdrawal_amount so I can see which rows are pulling the most weight.”
Compare ledger entries for monthly review
“I need to do a monthly review of our savings ledger — I have 120 rows with deposit and withdrawal amounts across several instrument groups. Can you give me the numeric row ordering and the secondary-measure weighted mean for deposit_amount for all of them?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ranking and a secondary-measure weighted mean computed on savings ledger data (deposit_amount, withdrawal_amount) in a single call for up to 200 rows, without needing live data lookups, predictions, or external integrations. It is cost-effective at $0.01 for two reports and is ideal for offline batch analytics on already-collected savings transaction records.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, date, deposit_amount, withdrawal_amount, instrument_group) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in both measures may yield undefined weighted mean
- Supplying fewer than 1 row causes a minItems validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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