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Company Filing Inventories — Record Quality Audit + Base-100 Series
x402
Company Filing Inventories — Record Quality Audit + Base-100 Series 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 supplied company filing inventory records: a record quality audit and a base-100 index series, covering available_filings and expected_filings fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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 record quality audit highlighting data issues, missing values, and anomalies across the supplied rows, and (2) a base-100 index series normalizing the selected field (available_filings or expected_filings) relative to the chosen base row — all computed locally from the supplied data with no external lookups.
Example use cases
Filing completeness audit for compliance team
“I have 80 rows of company filing inventory data across four business units covering Q1 2025 — can you run a record quality audit on them and flag any completeness or consistency issues in the available_filings and expected_filings columns?”
Base-100 benchmarking of filing volumes
“Take these 120 rows of monthly filing inventory records for our three company groups and produce a base-100 index series for the expected_filings field, using row index 0 as the base, so I can compare filing volume trends over time.”
Data quality check before regulatory submission
“Before we submit our filing inventory to regulators, can you run both a record quality audit and a base-100 series on our 200 rows of available_filings data, grouped by company_group, to make sure everything looks clean and consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of company filing inventory records (up to 200 rows) and need both a data quality audit and a base-100 normalization in a single low-cost call. It is ideal for compliance teams, data stewards, or analysts who want to validate filing record completeness and benchmark filing volume trends without any live data lookups or external dependencies.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with max items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field value outside allowed numeric range — rejection
- base_index out of bounds (>199 or negative) — validation error
- Null values in numeric fields may affect index calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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