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Parking Utilization Secondary-Measure Weighted Mean
x402
Parking Utilization Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes a secondary-measure weighted mean for parking utilization data across zones and dates, using up to 200 typed records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parking utilization - Secondary-measure weighted mean: Secondary-measure weighted mean for Parking utilization. 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 secondary-measure weighted mean report.
Output
Returns a bounded descriptive analytics report containing the secondary-measure weighted mean of the selected field (occupied_spaces or available_spaces) computed across the submitted parking utilization records, segmented by zone and date as applicable.
Example use cases
Daily parking occupancy summary
“I have daily records for 5 parking zones over the last month — each row has a date, zone name, occupied spaces, and available spaces. Can you compute the weighted mean of occupied_spaces across all of them so I can see overall utilization?”
Multi-zone availability analysis
“We manage 3 downtown parking garages and I want to understand average available_spaces weighted by zone activity. I have about 150 rows of daily data — can you run the secondary-measure weighted mean on the available_spaces field?”
Parking audit for facility report
“I need a weighted mean statistic on occupied_spaces for our parking facility audit. I have up to 200 records with zone, date, occupied_spaces, and available_spaces columns — can you compute the weighted average and give me the result?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-parking-utilization-weighted-average?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a local, bounded descriptive statistic (weighted mean) on parking utilization data you already have in hand, without needing enrichment, forecasting, or external data lookup. It is ideal for summarizing batch records of occupied and available parking spaces across zones and dates in a single low-cost call.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — exceeds maxItems limit, rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, zone, date, occupied_spaces, available_spaces) — rejected
- All values null for the target field — may return null or error result
- Invalid field enum value — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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