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Company Filing Inventories — Record Quality Audit + String Normalisation + Numeric Distribution
x402
Company Filing Inventories — Record Quality Audit + String Normalisation + Numeric Distribution 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 three local analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of company filing inventory data (available_filings, expected_filings).
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied company filing inventories records (available_filings, expected_filings). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the submitted rows: (1) a record quality audit flagging completeness and validity issues, (2) a string normalisation report for company_group and date fields, and (3) a numeric distribution summary (e.g. min, max, mean, percentiles) for the selected numeric field (available_filings or expected_filings).
Example use cases
Filing inventory data quality check
“I have a batch of company filing records with fields like company_group, date, available_filings, and expected_filings — can you run a full record quality audit plus string normalisation and numeric distribution on these rows? I want to catch any data issues before we load them into our reporting system.”
Distribution analysis of expected filings
“Can you analyse the numeric distribution of the expected_filings values across my filing inventory dataset? I've got about 150 rows with company_group and date info — also run the record quality audit and string normalisation reports at the same time.”
Normalise company group names in filings data
“My filing inventory export has inconsistent company_group strings — can you run string normalisation along with the record quality audit and numeric distribution report on my available_filings column? Here are the rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous local analytical reports — quality audit, string normalisation, and numeric distribution — on company filing inventory data (available_filings / expected_filings) in a single low-cost call. It is ideal for pre-load data validation, quick EDA on filing counts, and normalisation of company group strings, all without any external data lookups or live predictions. Best suited for batches of 1–200 rows at $0.01 USDC per call.
Side effects
- Exceeding 200 rows causes rejection — keep batch at or below the maximum
- Missing required fields (row_id, date, company_group, available_filings, expected_filings) will cause validation errors
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Numeric values outside ±1,000,000,000,000 range will be rejected
- Empty rows array is not accepted (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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