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Company Filing Inventories — Record Quality Audit + Trailing Mean Series
x402
Company Filing Inventories — Record Quality Audit + Trailing Mean 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 a record quality audit and computes a trailing mean series on supplied company filing inventory data (available_filings, expected_filings) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + Trailing mean series: Record quality audit + Trailing mean 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 identifying issues such as nulls, out-of-range values, or malformed rows across the filing inventory data, and (2) a trailing mean series showing rolling averages of the selected numeric field (available_filings or expected_filings) over the specified window, both computed locally against the supplied rows without any external data lookup.
Example use cases
Filing inventory data quality check
“I have 150 rows of company filing inventory records with available_filings and expected_filings for multiple company groups — can you run a record quality audit on them and flag any data quality issues?”
Rolling average for compliance tracking
“Compute a trailing mean series with a window size of 5 for the expected_filings field across my filing inventory records — I want to see the rolling trend for each date in my dataset.”
Multi-group filing trend analysis
“I have filing inventory data for group-a and group-b going back 90 days with both available_filings and expected_filings. Can you audit the record quality and give me a trailing mean series with window 10 on available_filings so I can spot gaps in our filing completion rate?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have company filing inventory tabular data (up to 200 rows) and need both a data quality audit and a rolling mean time series computed cheaply and locally — ideal for compliance teams, financial analysts, or agent pipelines that want two analytical reports in a single low-cost call without external data dependencies.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, company_group, date, available_filings, expected_filings) — schema error
- Window size less than 2 or greater than 200 — parameter error
- Non-numeric values in available_filings or expected_filings where a number is required — type error
- Payment of 0.01 USDC not provided or rejected — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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