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Building Occupancy Adjacent Row Changes
x402
Building Occupancy Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes adjacent row-to-row changes in building occupancy metrics (capacity or occupants) across up to 200 dated floor records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Building occupancy - Adjacent row changes: Adjacent row changes 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 adjacent row changes report.
Output
Returns a bounded descriptive analytics report showing the change in the selected field (capacity or occupants) between each adjacent row in the submitted dataset, limited to up to 200 records per call. Includes row-by-row delta values for the specified metric without forecasting or external enrichment.
Example use cases
Daily office headcount delta tracking
“I have daily occupancy data for our 3 office floors over the past week — each row has a date, floor name, total capacity, and how many people were in. Can you run an adjacent row changes report on the occupants field so I can see how headcount shifted day to day?”
Floor capacity change audit
“I need to audit how our building capacity numbers changed sequentially across these 50 records — each entry has a floor, date, capacity, and occupant count. Run the adjacent row changes analysis on the capacity field and show me where the biggest jumps occurred.”
Co-working space utilization shift analysis
“We track daily occupancy across 5 floors of our co-working space. I've got 150 rows with dates, floor names, capacity, and occupant counts. Can you compute the adjacent period changes on occupants so I can identify which floors saw the sharpest swings in utilization?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-building-occupancy-period-change?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular building occupancy records and need fast, local row-by-row delta computation on capacity or occupancy figures without needing forecasting, enrichment, or cross-dataset joins. Ideal for facility managers, workspace analysts, or agents processing sequential daily or periodic building data in bounded batches of up to 200 rows.
Side effects
- Missing required fields (row_id, floor, date, capacity, occupants) cause validation errors
- Date values not matching YYYY-MM-DD format are rejected
- Submitting more than 200 rows exceeds the maxItems limit and fails
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (not 'capacity' or 'occupants') causes rejection
- Payment failure or insufficient USDC balance blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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