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Savings Ledger — Grouped Numeric Summary + Secondary-Measure Weighted Mean
x402
Savings Ledger — Grouped Numeric Summary + 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 grouped numeric summary statistics and a secondary-measure weighted mean for savings ledger records containing deposit and withdrawal amounts, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + 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 independent analytical reports for the supplied savings ledger data: (1) a grouped numeric summary (e.g., count, sum, mean, min, max) of the selected field (deposit_amount or withdrawal_amount) broken down by instrument_group, and (2) a secondary-measure weighted mean of the selected field using the other numeric column as weights, also grouped. Both reports are computed locally with no external lookups.
Example use cases
Monthly savings breakdown by account type
“I have 50 rows from my savings ledger spanning October 2026, each tagged with an instrument group like 'checking', 'high-yield', or 'money-market'. Can you group them and give me a numeric summary of deposit_amount plus a weighted mean using withdrawal_amount as the secondary measure?”
Comparing deposit performance across fund categories
“I want to compare deposit amounts across different savings instrument groups in my ledger — can you compute a grouped numeric summary and a secondary-measure weighted mean for deposit_amount across my 120 rows, grouped by instrument_group?”
Withdrawal analysis for budgeting review
“Can you run a grouped numeric summary and weighted mean on withdrawal_amount across my savings ledger? I have 80 rows tagged by instrument group and I need the stats grouped per category so I can review my spending patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-096?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have savings ledger data with deposit and withdrawal amounts grouped by instrument categories and need both a grouped numeric summary and a weighted mean in a single call. It is ideal for lightweight, local statistical analysis of up to 200 rows without requiring a live data connection, external model inference, or professional financial assessment. It is cost-effective at $0.01 USDC for two reports.
Side effects
- Missing required fields (row_id, instrument_group, date, deposit_amount, withdrawal_amount) cause validation errors
- Submitting more than 200 rows exceeds the max row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Null values in both numeric fields for a row may affect weighted mean computation
- Payment failure (insufficient USDC) results in 402 response and no computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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