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Company Filing Inventories — Numeric Row Ordering & IQR Outlier Flags
x402
Company Filing Inventories — Numeric Row Ordering & 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 2026-10-20).
Sorts company filing inventory rows by numeric value and flags statistical outliers using the interquartile range (IQR) method for available_filings or expected_filings fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company filing inventories — Numeric row ordering + IQR outlier flags: Numeric row ordering + 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 independent reports (one for available_filings, one for expected_filings) covering: numerically ordered rows ranked by the selected field, and IQR-based outlier flags identifying which rows fall outside the interquartile fence. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Outlier detection in filing availability
“I have a dataset of 50 company filing records across several groups with dates and counts of available_filings and expected_filings — can you sort them by available_filings and flag which rows are statistical outliers using IQR?”
Ranking expected filings across company groups
“Sort my company filing inventory records by expected_filings and tell me which entries are outliers — I'll paste in the rows with row IDs, company groups, and dates.”
Audit anomalous filing counts before compliance review
“Before our compliance review, I need to rank all our company filing inventory rows by available_filings and identify any rows with unusually high or low counts that might be data errors — can you run the IQR outlier check on this set of up to 200 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-17-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined numeric ordering plus IQR outlier detection report on company filing inventory data (available_filings and/or expected_filings) without requiring any external data sources. It is ideal for offline/batch analytical pipelines where you supply up to 200 rows and need both a ranked ordering and statistical anomaly flags in a single low-cost call ($0.01 USDC). Prefer alternatives if you need live filing data retrieval, predictive modeling, or outlier detection on non-filing inventory metrics.
Side effects
- Fewer than 1 row supplied — minimum item count not met
- More than 200 rows supplied — exceeds maximum batch size
- Missing required fields (row_id, company_group, date, available_filings, or expected_filings) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field enum value — must be 'available_filings' or 'expected_filings'
- Too few data points for meaningful IQR computation (e.g. single row)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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