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Company Filing Inventories — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Company Filing Inventories — Record Quality Audit + String Normalisation + Numeric Interval Filter 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).
Audits record quality, normalises strings, and filters by numeric interval for up to 200 rows of company filing inventory data (available_filings, expected_filings), producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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
Three independent analytical reports for the submitted company filing inventory rows: (1) a record quality audit flagging issues such as missing values or malformed entries, (2) a string normalisation report for company_group and other string fields, and (3) a numeric interval filter report identifying rows where the selected field (available_filings or expected_filings) falls within the specified minimum–maximum range. Covers up to 200 input rows.
Example use cases
Filing completeness audit before submission
“I have 150 rows of company filing inventory records with available_filings and expected_filings columns — can you audit them for record quality issues, normalise the company_group strings, and filter available_filings to only show rows between 5 and 500?”
Regulatory data quality check
“We need to validate our quarterly filing inventory dataset for data quality before sending it to the regulator — run a record quality audit and string normalisation on all rows, and flag any expected_filings values outside the range 1 to 1000.”
Filing gap analysis by company group
“Can you analyse this set of company filing inventory records, normalise the company_group names, and filter on the expected_filings field to find entries between 10 and 250, so we can spot which groups have filing gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous local analytical operations — record quality audit, string normalisation, and numeric interval filtering — on company filing inventory data (available_filings, expected_filings) in a single cost-efficient call. It is well-suited for batch validation pipelines processing up to 200 rows at $0.01 USDC per call. Prefer it over general-purpose data tools when your data is specifically structured around filing counts per company group and you want combined QA and filtering without external lookups or live data enrichment.
Side effects
- More than 200 rows submitted — request rejected, batch must be split
- Missing required fields (row_id, date, available_filings, expected_filings) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- minimum greater than maximum — interval filter produces empty result set or error
- Null numeric values in filter field — rows may be excluded from interval report
- No rows match the interval filter — empty interval report returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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