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Building Occupancy Grouped Numeric Summary
x402
Building Occupancy Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Computes grouped descriptive statistics (min, max, mean, count, etc.) for building occupancy data, segmented by floor group, from up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building occupancy - Grouped numeric summary: Grouped numeric summary 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 grouped numeric summary report.
Output
Returns a grouped numeric summary report containing descriptive statistics (such as count, min, max, mean, and possibly standard deviation or percentiles) for the selected numeric field (capacity or occupants), segmented by the floor group identifier across the supplied records.
Example use cases
Office floor utilization weekly review
“Here are 50 daily occupancy readings across our four office floors from last week — group them by floor and give me the min, max, and average number of occupants so I can see which floors are under- or over-used.”
Multi-zone capacity planning analysis
“I've got occupancy data for three building zones labeled zone-a, zone-b, and zone-c across 30 days. Group it by zone and summarize the capacity field so I can understand how each zone compares statistically.”
Building compliance headcount audit
“We need to check compliance across our two building wings — I'll send you 80 records with daily headcounts per wing. Group them by floor and run a numeric summary on occupants so we can spot any floors regularly exceeding safe limits.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-building-occupancy-group-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw, record-level building occupancy data (up to 200 rows) and need fast, local grouped descriptive statistics broken down by floor or building zone — without needing forecasts, enrichment, or external data. It is ideal for facilities managers or analytics agents that want a quick summary report segmented by group from a bounded dataset at minimal cost ($0.01 USDC).
Side effects
- Missing required fields (row_id, floor, date, capacity, or occupants) cause validation errors
- Supplying more than 200 rows returns an error about exceeding the max item limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Empty rows array rejected due to minItems:1 constraint
- Numeric values outside the allowed range trigger validation errors
- Payment failure or insufficient USDC balance prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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