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Company Filing Inventories — String Normalisation + Date-by-Category Pivot
x402
Company Filing Inventories — String Normalisation + 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).
Normalises string fields and produces a date-by-category pivot table from company filing inventory records (available_filings, expected_filings) — up to 200 rows, 2 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — String normalisation + Date by category pivot: String normalisation + 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 string-normalised version of the supplied filing inventory rows and (2) a date-by-category pivot table for the selected field (available_filings or expected_filings), aggregated across all supplied company groups and dates.
Example use cases
Compliance team filing availability audit
“I have 120 rows of filing inventory data across multiple company groups spanning Q3 — each row has a date, a company_group, and counts for available_filings and expected_filings. Can you normalise the company group strings and pivot available_filings by date and group so I can see which groups are consistently short?”
Monthly expected filings trend pivot
“Can you take these 80 filing inventory records, normalise the string fields, and produce a date-by-category pivot for expected_filings so I can track how each company group's filing obligations change week over week?”
Data cleaning before dashboard upload
“Before I load these filing inventory rows into our dashboard, I need the company_group strings normalised and a pivot of available_filings by date and category — I've got about 200 rows ready to send. Can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw company filing inventory records that need both string cleaning and a date-by-category pivot in a single low-cost call. It is especially useful for compliance or regulatory workflows where filing counts are tracked across company groups over time, and no live lookup or external data is needed — only local analytical transformation of supplied rows.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, company_group) causes row rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Null values in numeric fields may reduce pivot completeness
- field enum value not matching 'available_filings' or 'expected_filings' causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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