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Company Filing Inventories — Trailing Mean Series + Explicit Missing-Value Fill
x402
Company Filing Inventories — Trailing Mean Series + Explicit 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).
Computes a trailing mean time series and fills missing values for company filing inventory records (available_filings, expected_filings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Trailing mean series + Explicit missing-value fill: Trailing mean series + 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 analytical reports covering: (1) a trailing mean time series for the selected field (available_filings or expected_filings) computed over the specified window, and (2) an explicit missing-value-filled version of the same field using the chosen method (zero, mean, or median), applied to up to 200 input rows grouped by company_group and date.
Example use cases
Smooth filing inventory trends by group
“I have 120 rows of daily filing inventory records split across two company groups. Can you compute a trailing mean series with a window of 5 for available_filings and fill any nulls using the mean method?”
Impute missing expected filings with zero fill
“My expected_filings column has a bunch of nulls in this 80-row dataset. Can you run a trailing mean with a window of 4 and fill those missing values with zero?”
Compare filing availability over rolling window
“I need to analyze these 200 rows of company filing data — run a trailing mean with window size 7 on the available_filings field and fill missing values using median so I can see smoothed trends over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company filing inventory data (available_filings and/or expected_filings) and need both a trailing rolling mean time series and explicit null imputation in a single call for up to 200 rows. It is ideal for pre-processing filing data before visualization or downstream analysis, especially when your data has missing values and you want smoothed trends without building your own analytics pipeline.
Side effects
- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size less than 2 or greater than 200 — rejected
- Null values in row_id or date fields — processing error
- Unknown fill method or field value outside enum — rejected
- Payment not completed via x402 — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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