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Parking Utilization – Adjacent Row Changes
x402
Parking Utilization – 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 2026-10-18).
Computes adjacent row-to-row changes in occupied or available parking spaces across zones and dates for up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parking utilization - Adjacent row changes: Adjacent row changes 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 adjacent row changes report.
Output
A bounded descriptive analytics report listing the adjacent (consecutive row) change values for the selected metric field (occupied_spaces or available_spaces) across the supplied parking utilization records, with no forecasting or external enrichment.
Example use cases
Daily parking occupancy trend analysis
“I have daily parking data for our downtown garage across zones A and B for the past month — can you compute the adjacent row changes in occupied_spaces so I can see how occupancy shifts day over day?”
Available spaces delta for facility audit
“We're auditing our parking facility and need to know how available_spaces changed between each recorded entry in our dataset — can you run the adjacent row changes report on available_spaces for these 80 records?”
Zone-level utilization change monitoring
“I want to monitor how parking utilization is trending in each zone — can you calculate the adjacent row-to-row differences in occupied_spaces for these 120 records grouped by zone and date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-parking-utilization-period-change?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a flat dataset of parking utilization records (up to 200 rows) and need to quickly compute adjacent row-to-row deltas for occupied or available spaces without requiring forecasting, enrichment, or external data. It is ideal for local descriptive analytics on structured parking data where you control row ordering and want a bounded, low-cost computation.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, zone, date, occupied_spaces, available_spaces) — schema validation failure
- Invalid date format not matching YYYY-MM-DD pattern — rejected
- Invalid field enum value other than occupied_spaces or available_spaces — rejected
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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