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Company Filing Inventories — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series
x402
Company Filing Inventories — Record Quality Audit + Exact Row Deduplication + 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 three analytical reports on company filing inventory data: a record quality audit, exact row deduplication, and a trailing mean time series — all processed locally without external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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 reports: (1) a record quality audit flagging missing, null, or malformed values across the supplied rows; (2) an exact row deduplication report identifying fully identical records; and (3) a trailing mean series for the selected numeric field (available_filings or expected_filings) using the specified window size — all computed locally with no external calls.
Example use cases
Filing data quality audit before reporting
“I have a dataset of company filing records across groups A and B with dates, available_filings, and expected_filings — can you audit the data quality, find any exact duplicate rows, and compute a trailing mean series with a window of 4 on the available_filings field?”
Detecting duplicates in filing inventory submissions
“We received filing inventory submissions from multiple company groups and I need to check for exact duplicate rows and see a record quality report — the rows have row_id, company_group, date, expected_filings, and available_filings, with up to 150 entries.”
Rolling average trend for expected filings
“Can you calculate the trailing mean series with a window of 5 for expected_filings across our company filing inventory records? I also need the quality audit and dedup report at the same time — we have around 80 rows covering groups X, Y, and Z.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of company filing inventory data (available_filings, expected_filings) and need all three of: a quality audit, exact deduplication check, and trailing mean time series in a single low-cost call. It is ideal for pre-analysis data hygiene workflows where no live external lookup, prediction, or professional assessment is needed — everything runs locally. Prefer this over general-purpose analytics tools when working specifically with company_group-structured filing inventory records and you want bundled reporting at $0.01 per call.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows supplied exceeds the row limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Window size smaller than 2 or larger than 200 is rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Missing required fields (row_id, date, company_group) cause row-level errors
- Field enum value not one of available_filings or expected_filings causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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