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Parking Utilization Daily Sum Series
x402
Parking Utilization Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Computes a daily sum time series for parking utilization metrics (occupied or available spaces) across zones, from up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parking utilization - Daily sum series: Daily sum series 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 daily sum series report.
Output
A bounded daily sum series report showing the aggregated total of the selected field (occupied_spaces or available_spaces) per date across all supplied zone records, covering up to 200 input rows. No forecasting or external enrichment is included — purely descriptive analytics on the provided data.
Example use cases
Daily occupancy trend for parking garage
“I have daily parking records for our downtown garage across zones North and South for the past 30 days — can you roll them up into a daily sum series for occupied_spaces so I can see overall demand day by day?”
Available spaces tracking for facility manager
“Give me a daily total of available parking spaces across all zones for our airport lot using these records for November 2026, so I know which days had the most spare capacity.”
Parking utilization report for weekly review
“Aggregate my parking zone data from last week into a daily sum series for occupied_spaces — I have rows for zones A, B, and C with daily counts and I need the totals per date for my Monday report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-parking-utilization-date-series?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw daily parking utilization records (occupied and available space counts per zone) and need a simple, bounded daily sum aggregation with no forecasting or enrichment. It is ideal for local descriptive analytics on a small-to-medium dataset (up to 200 rows) where you want a per-day total for a single numeric metric across zones, delivered at minimal cost ($0.01 USDC).
Side effects
- Missing required fields (row_id, zone, date, occupied_spaces, available_spaces) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows in the input array returns a payload-too-large error
- Null numeric values may be excluded from aggregation silently
- Invalid field enum value (anything other than occupied_spaces or available_spaces) causes a bad-request error
- Payment of 0.01 USDC not attached or rejected causes a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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