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Company Filing Inventories — Record Quality Audit + Date by Category Pivot
x402
Company Filing Inventories — Record Quality Audit + 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 2026-10-20).
Runs two analytical reports on company filing inventory data: a record quality audit and a date-by-category pivot table, processing up to 200 rows offline with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + Date by category pivot: Record quality audit + 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 reports: (1) a record quality audit highlighting missing values, type errors, nulls, and anomalies across the supplied rows; and (2) a date-by-category pivot summarizing the selected field (available_filings or expected_filings) broken down by date and company_group. Both reports are computed locally with no external data fetching.
Example use cases
Compliance filing gap analysis
“I have a dataset of 80 rows tracking available_filings and expected_filings across different company groups with dates from Q1. Can you run both the record quality audit and the date-by-category pivot on it so I can see where filing gaps exist by group?”
Data quality check before filing submission
“Before I submit our filing inventory to the regulator, can you audit the record quality of these 150 rows covering multiple company groups? I want to catch any missing or malformed values in available_filings and expected_filings.”
Monthly filing inventory pivot report
“Run a date-by-category pivot on my company filing inventory for October 2026 — I've got about 50 rows across two company groups and want to pivot on expected_filings to see the breakdown by date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company filing inventory data and need both a data quality check and a date-based category pivot in a single call, without requiring live external lookups or API integrations. It is ideal for offline batch validation and summarization of structured filing records before reporting or submission.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Invalid date format (not YYYY-MM-DD) may cause pivot errors
- Null values in available_filings or expected_filings degrade pivot completeness
- Missing required fields (row_id, company_group, date) cause row-level errors
- Submitting an empty rows array returns an error
- Values outside the allowed numeric range may be flagged or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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