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Company Filing Inventories — Adjacent Row Changes + Date by Category Pivot
x402
Company Filing Inventories — Adjacent Row Changes + 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 2026-10-16).
Runs two local analytical reports on company filing inventory data: adjacent row-to-row change detection and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot for supplied company filing inventories records (available_filings, expected_filings). 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) an adjacent row changes report showing the difference between each consecutive row for the selected field (available_filings or expected_filings), and (2) a date-by-category pivot table summarizing filing values broken down by date and company_group. All computation is performed locally on the supplied data with no external lookups.
Example use cases
Filing gap detection across quarters
“I've got a list of quarterly filing records for our two company groups — Alpha and Beta — across 60 rows with dates, available_filings, and expected_filings. Can you run adjacent row change analysis on the available_filings field so I can see where the biggest jumps or drops happen?”
Cross-tab pivot for compliance dashboard
“Can you pivot my filing inventory data by date and company group? I have 120 rows covering group-a and group-b with daily filing counts, and I want a date-by-category table showing expected_filings so I can slot it into our compliance dashboard.”
Audit prep row-by-row delta check
“We're prepping for an audit and need to flag any unusual row-to-row swings in our available_filings numbers across 80 company filing records. Run the adjacent row changes report on these rows so we can highlight anomalies before the review.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company filing inventory data (available_filings, expected_filings) and need both row-over-row delta analysis and a date-by-category pivot in a single low-cost call. It is purpose-built for filing inventory datasets and returns two reports for $0.01 USDC, making it efficient when both analytical views are needed together. Prefer alternatives if you need live data lookup, forecasting, external validation, or more than 200 rows.
Side effects
- Missing required fields (row_id, date, company_group) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Supplying more than 200 rows exceeds the row limit and is rejected
- Null or out-of-range numeric values for filings fields may be excluded from calculations
- Invalid field enum value (anything other than 'available_filings' or 'expected_filings') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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