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Savings Ledger — Numeric Row Ordering + Equal-Width Histogram
x402
Savings Ledger — Numeric Row Ordering + Equal-Width Histogram 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).
Sorts savings ledger rows by a chosen numeric field and computes an equal-width histogram over deposit or withdrawal amounts for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Numeric row ordering + Equal-width histogram: Numeric row ordering + Equal-width histogram 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: (1) the input rows re-ordered by the selected numeric field (deposit_amount or withdrawal_amount), and (2) an equal-width histogram over that field showing bin boundaries, bin labels, and row counts per bin. Both reports are computed locally with no external lookups.
Example use cases
Rank deposits for monthly review
“I have 120 savings ledger entries for October and I want them sorted by deposit_amount from highest to lowest, plus a 5-bin histogram showing how those deposits are distributed — can you run both reports?”
Analyze withdrawal spread across buckets
“Take these 80 savings records and give me a numeric ordering by withdrawal_amount along with an equal-width histogram using 10 bins so I can see where most withdrawals cluster.”
Distribution audit for instrument groups
“Here are 200 rows of savings ledger data with deposit and withdrawal amounts — sort them by deposit_amount and produce a histogram with 15 bins so I can audit which amount ranges are most common.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-118?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary analytical views — sorted row ordering and a frequency histogram — over savings ledger data (deposits and withdrawals) in a single low-cost call. It is ideal for offline batch analysis of up to 200 ledger rows without requiring any external data sources, live market feeds, or professional financial assessment.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- bins value outside 1–30 range — schema validation failure
- Missing required fields (row_id, deposit_amount, withdrawal_amount) — error response
- All values null for selected field — histogram cannot be computed
- Payment not processed or insufficient USDC — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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