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Savings Ledger — Daily Sum Series + Two-Measure Correlation
x402
Savings Ledger — Daily Sum Series + Two-Measure Correlation 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).
Computes a daily sum time series and a two-measure correlation report for savings ledger records containing deposit and withdrawal amounts (up to 200 rows).
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 computed from the supplied rows: (1) a daily sum time series aggregating the selected field (deposit_amount or withdrawal_amount) by date, and (2) a two-measure correlation report quantifying the statistical relationship between deposit_amount and withdrawal_amount. No external data is fetched; all analysis is performed on the provided rows (up to 200).
Example use cases
Monthly savings trend analysis
“I have 120 rows of savings ledger data for Q3 2026 with deposits and withdrawals by instrument group — can you compute the daily sum series for deposit_amount and also show me the correlation between deposit_amount and withdrawal_amount?”
Reconciling group-level deposit patterns
“Here are 80 savings ledger entries split across group-a and group-b — run a daily aggregation of withdrawal_amount and tell me how correlated it is with deposit_amount across all the rows.”
Personal savings behavior review
“I've exported 45 rows from my savings account ledger with dates, deposit amounts, and withdrawal amounts — can you produce the daily sum series and a correlation report between the two measures so I can see if my spending patterns track my saving patterns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw savings ledger rows (with deposit and withdrawal amounts) and need both a daily aggregated time series and a statistical correlation between the two measures in a single $0.01 call. It is ideal for offline/batch analysis of up to 200 rows without requiring external data sources, live market feeds, or professional financial assessment.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, deposit_amount, withdrawal_amount) cause validation errors
- Date strings not matching YYYY-MM-DD pattern rejected by schema validation
- Null numeric values in both measures may affect correlation calculation
- Insufficient row count or variance may produce degenerate correlation results
- Invalid field enum value (not deposit_amount or withdrawal_amount) causes request failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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