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Company Filing Inventories — Record Quality Audit & Missing Value Fill
x402
Company Filing Inventories — Record Quality Audit & Missing Value Fill 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 and fills missing values in company filing inventory data (available_filings, expected_filings) for up to 200 rows, producing 2 independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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 2 independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and data anomalies across all rows, and (2) an explicit missing-value fill report showing imputed values for the chosen field (available_filings or expected_filings) using the selected method (zero, mean, or median). No external data or live lookups are used — all analysis is performed on the supplied rows only.
Example use cases
Pre-analysis data quality check
“I have a CSV of filing inventory records for different company groups with dates and filing counts — some values are null. Can you audit the record quality and fill missing available_filings values using median imputation before I run my analysis?”
Compliance data completeness review
“We need to verify our regulatory filing inventory is complete. Can you check these 150 rows of expected_filings and available_filings data for missing values and quality issues, and fill any gaps using the mean method?”
Missing expected_filings backfill
“Some of our expected_filings entries are null across multiple company groups — can you run a quality audit on these records and fill those missing expected_filings values using zero imputation, then give me the two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-019?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) offline audit and imputation pass on company filing inventory data without external lookups or predictions. It is ideal for pre-processing pipelines where you want two simultaneous reports (quality audit + filled values) on the same dataset batch of up to 200 rows. Prefer this over general-purpose data cleaning tools when working specifically with available_filings and expected_filings fields organized by company group and date.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, company_group, date) causes rejection
- Numeric values outside allowed range (±1 trillion) cause validation errors
- Empty rows array returns an error
- Invalid enum value for field or method parameter causes schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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