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Company Filing Inventories — Date-by-Category Pivot + Missing-Value Fill
x402
Company Filing Inventories — Date-by-Category Pivot + Missing-Value Fill 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).
Pivots company filing inventory data (available_filings, expected_filings) by date and category, and fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill 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) a date-by-category pivot table showing the selected field (available_filings or expected_filings) broken down by date rows and company_group columns, and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally without any external data lookup.
Example use cases
Filing gap analysis by company group
“I have 150 rows of daily filing inventory data across several company groups and I need to see a pivot table of available_filings by date and company group, with any blanks filled in using the median. Can you run both reports on it?”
Expected filings completeness audit
“Here are my expected_filings records for multiple company groups across the past quarter — pivot them by date and category and fill any missing expected_filings values with zero so I can spot where we're short.”
Mean imputation for available filings before dashboard export
“Before I export this filing inventory dataset to my dashboard, I need you to pivot it by date and company group and fill in any null available_filings using the mean across the dataset — there are about 80 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-189?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected company filing inventory records (available_filings and/or expected_filings) in row format and need both a date-by-category pivot transformation and missing-value imputation in a single call, without any live data fetching or external API dependencies. It is best suited for offline analytical preparation of tabular datasets up to 200 rows where reproducibility and local computation matter.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Field value outside ±1,000,000,000,000 range rejected by schema
- Missing required fields (row_id, company_group, date) cause processing errors
- Unknown fill method or field enum value causes parameter rejection
- Payment not included or insufficient USDC causes x402 payment-required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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