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Financial Statement Inputs — Secondary-Measure Weighted Mean + Date by Category Pivot
x402
Financial Statement Inputs — Secondary-Measure Weighted Mean + Date by Category Pivot 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 secondary-measure weighted mean and a date-by-category pivot table for up to 200 financial statement input rows (revenue_amount, expense_amount) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Financial statement inputs — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot for supplied financial statement inputs records (revenue_amount, expense_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) a secondary-measure weighted mean of the selected financial field (revenue_amount or expense_amount) using the other measure as the weight, and (2) a pivot table of the selected field broken down by date and instrument_group category. Both reports are computed locally from the supplied rows with no external data.
Example use cases
Quarterly revenue weighted mean by segment
“I have 150 rows of quarterly financial data with revenue and expense amounts tagged by instrument group and date — can you compute a weighted mean of revenue_amount and pivot it by date and category so I can see how each segment performed?”
Expense distribution pivot for budget review
“Run a secondary-measure weighted mean and a date-by-category pivot on my expense_amount data — I've got 80 rows of financial statement inputs across several instrument groups spanning the last two months.”
Multi-group financial statement analysis
“I need two analytical reports on my financial statement inputs: a weighted mean and a date-by-category pivot for revenue_amount. There are about 60 rows covering instrument groups like 'equities' and 'fixed-income' with dates from 2026-01-01 to 2026-03-31.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-22-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean and a date-by-category pivot computed together on a single batch of financial statement rows (up to 200), and you want two coordinated reports from one low-cost call ($0.01 USDC). Prefer it over general analytics services when your data is already structured with row_id, instrument_group, date, revenue_amount, and expense_amount fields, and you need purely local computation with no external lookups or predictions.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, instrument_group, date, revenue_amount, or expense_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Both revenue_amount and expense_amount are null for a row, making weighted mean undefined
- field parameter not one of the allowed enum values ('revenue_amount' or 'expense_amount')
- Payment not completed via x402 protocol — endpoint returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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