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Company Filing Inventories — Daily Sum Series + IQR Outlier Flags
x402
Company Filing Inventories — Daily Sum Series + IQR Outlier Flags 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 time series and IQR-based outlier flags for company filing inventory data (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 + IQR outlier flags: Daily sum series + IQR outlier flags 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 time series aggregating the selected filing field (available_filings or expected_filings) by date across all company groups, and (2) IQR-based outlier flags identifying which daily totals fall outside the interquartile range bounds. Up to 200 input rows supported per call.
Example use cases
Detect outlier days in filing backlog
“I have daily filing inventory data for two company groups over the past quarter — can you compute the daily sum series and flag any outlier days using IQR for the available_filings field? I'll give you up to 200 rows with row_id, company_group, and date.”
Monitor expected filings completeness
“Run a daily sum aggregation and IQR outlier detection on my expected_filings data across all company groups — I want to know which dates have anomalous totals. Here's my dataset of about 150 rows.”
Audit filing inventory for compliance review
“Before our compliance review, can you summarize our available_filings by date with a daily sum series and highlight any statistically unusual days using IQR outlier flags? I have 200 rows of data with company_group, date, available_filings, and expected_filings.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-140?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured company filing inventory records and need both a daily aggregate time series and IQR statistical outlier detection in a single low-cost call ($0.01 USDC for both reports). It operates entirely on supplied data with no external lookups, making it suitable for private or sensitive filing data. Prefer it over general-purpose analytics when your data specifically tracks available_filings and expected_filings by company group and date.
Side effects
- Missing required row fields (row_id, date, company_group, available_filings, expected_filings) causes validation error
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in the selected field may affect outlier detection accuracy
- Invalid field enum value (not 'available_filings' or 'expected_filings') causes rejection
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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