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Company Filing Inventories – Daily Sum Series + Explicit Missing-Value Fill
x402
Company Filing Inventories – Daily Sum 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).
Computes daily sum aggregations and fills missing values (zero, mean, or median) 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 — Daily sum series + Explicit missing-value fill: Daily sum 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 two analytical reports: (1) a daily sum series aggregating the chosen field (available_filings or expected_filings) by date, and (2) the same dataset with explicit missing values filled using the specified method (zero, mean, or median). Output covers up to 200 input rows.
Example use cases
Daily filing availability rollup
“I have 150 rows of daily available_filings and expected_filings records across several company groups from Q3 — can you aggregate them into daily sums and fill any missing available_filings values using the mean?”
Missing-value imputation for filing audits
“My filing inventory dataset has some null entries in expected_filings across different company groups — fill those gaps using zero-fill and give me the complete daily sum series so I can audit the totals.”
Time series completeness check for filings
“I'm preparing a report on filing inventory completeness — can you take these 80 rows of company filing records and produce a daily sum series for available_filings with median imputation for any missing days?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured company filing inventory records (available_filings, expected_filings) organized by date and company group, and you need both a daily sum aggregation and explicit missing-value imputation in a single low-cost call. Ideal for data preprocessing pipelines, audit preparation, or compliance reporting where null handling and time-series rollup are both required on up to 200 rows without needing live data lookup or external data enrichment.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group) in any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Invalid field or method enum value — rejected with schema error
- All values null for selected field — mean/median fill may produce undefined results
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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