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Company Filing Inventories — Base-100 Series + Explicit Missing-Value Fill
x402
Company Filing Inventories — Base-100 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 2026-10-16).
Transforms supplied company filing inventory data (available_filings, expected_filings) into a Base-100 index series and fills any missing values using a chosen fill method (zero, mean, or median).
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Base-100 series + Explicit missing-value fill: Base-100 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
Two analytical reports containing: (1) a Base-100 indexed time series for the selected filing measure (available_filings or expected_filings), normalized relative to the specified base row; and (2) the same data with explicit missing-value fills applied using the chosen method (zero, mean, or median). Up to 200 rows processed per call.
Example use cases
Compliance filing trend indexing
“I need to normalize our quarterly filing inventory data across two company groups to a Base-100 index starting from the first row — the available_filings column has some nulls, please fill those with the median before indexing.”
Expected filings gap-fill analysis
“Can you take my expected_filings data for groups Alpha and Beta, fill any missing entries using the mean, and then produce a Base-100 indexed series so I can compare trends across the two groups?”
Multi-group filing inventory baseline comparison
“I have 120 rows of company filing inventory records spread across three groups with some null values in available_filings — please fill nulls with zero and index everything to Base-100 from row 5 so I can benchmark against that date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected company filing inventory data (available_filings and/or expected_filings) that contains missing values and needs to be normalized to a common baseline for comparison. It is ideal for offline batch analytical work on up to 200 rows where you want both Base-100 indexing and null imputation in a single call. Prefer this over raw data lookups or prediction services — it performs no live data fetching, forecasting, or external actions.
Side effects
- More than 200 rows submitted — request rejected at maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (0–199) — validation error
- Null or missing row_id — required field error
- Numeric values outside ±1,000,000,000,000 — schema rejection
- No rows provided (minItems:1 violated) — empty input error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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