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Building Occupancy IQR Outlier Flags
x402
Building Occupancy 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 2026-10-22).
Detects IQR-based statistical outliers in building occupancy data (capacity or occupant counts) across floors and dates, returning outlier flags for up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building occupancy - IQR outlier flags: IQR outlier flags for Building occupancy. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded iqr outlier flags report.
Output
A bounded IQR outlier flags report for up to 200 supplied building occupancy records, indicating which rows fall outside the interquartile range for the selected field (capacity or occupants). The report is purely descriptive/local — no enrichment, forecasting, or external data is used.
Example use cases
Weekly occupancy anomaly review
“I have 150 rows of daily occupancy readings for our office building across 5 floors for last month — can you flag any IQR outliers in the occupants field so I know which days had abnormal headcounts?”
Capacity planning data quality check
“Before I run our capacity planning report, can you scan these 80 records of floor capacity figures and flag any IQR outliers in the capacity field that might be data entry errors?”
Facilities audit for unusual occupancy spikes
“Our facilities team wants to know if any floors had unusual occupancy spikes — run IQR outlier detection on these 60 rows of occupant counts by floor and date and tell me which ones are flagged.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-building-occupancy-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have building occupancy records (with floor, date, capacity, and occupant counts) and need a quick, local IQR-based statistical outlier flag on up to 200 rows — without needing enrichment, forecasting, or external data. Best for data quality checks, anomaly detection in facilities data, or pre-processing before reporting.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, floor, date, capacity, occupants) returns 400
- Invalid field enum value (not 'capacity' or 'occupants') causes rejection
- Payment of 0.01 USDC not included or declined results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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