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Savings Ledger — Duplicate Key Report + Category Frequencies
x402
Savings Ledger — Duplicate Key Report + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).
Analyzes up to 200 savings ledger rows (deposit_amount, withdrawal_amount) to produce a duplicate key report and category frequency counts using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Savings ledger — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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 reports: (1) a duplicate key report identifying any row_id values that appear more than once across the submitted rows, and (2) a category frequency table showing how many times each instrument_group value appears across up to 200 savings ledger records. No external lookups or predictions are included.
Example use cases
Duplicate entry audit for savings data
“I have a CSV export of my savings ledger with columns row_id, instrument_group, date, deposit_amount, and withdrawal_amount — can you scan up to 200 rows and flag any duplicate row IDs, and also tell me how many records fall into each instrument group?”
Category frequency summary for monthly deposits
“Here are 150 savings ledger rows from October. Can you count how many times each instrument group shows up and also check whether any row IDs are repeated across the dataset?”
Data quality check before ledger import
“Before I import these savings ledger rows into our system, can you run a duplicate key check on the row_id field and give me a frequency breakdown by instrument_group so I can spot any data issues? I have about 80 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-23-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have savings ledger data (with deposit and withdrawal amounts) and need two quick analytical outputs — a duplicate key check and category frequency counts — in a single low-cost call. It is ideal for data quality checks before importing ledger data, auditing exported records for duplicates, or summarizing instrument group distributions without needing live data, predictions, or external enrichment.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, instrument_group, date, deposit_amount, withdrawal_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Empty rows array returns an error
- Numeric values outside the allowed range (±1,000,000,000,000) are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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