{"uid":"cap_f36WMJ_u20J3OMofM5xs4","slug":"parking-utilization-daily-sum-series-56871883","name":"Parking Utilization Daily Sum Series","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-parking-utilization-date-series?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","zone","date","occupied_spaces","available_spaces"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"zone":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"occupied_spaces":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"available_spaces":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","zone":"group-a","row_id":"row-1","occupied_spaces":10,"available_spaces":1},{"date":"2026-10-02","zone":"group-b","row_id":"row-2","occupied_spaces":20,"available_spaces":2},{"date":"2026-10-03","zone":"group-a","row_id":"row-3","occupied_spaces":15,"available_spaces":3},{"date":"2026-10-04","zone":"group-b","row_id":"row-4","occupied_spaces":30,"available_spaces":4}],"maxItems":200,"minItems":1},"field":{"enum":["occupied_spaces","available_spaces"],"type":"string","default":"occupied_spaces"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Xv_gXk_0mp7frhdQaysoJ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a daily sum time series for parking utilization metrics (occupied or available spaces) across zones, from up to 200 supplied records.","exampleAgentPrompt":"Summarize my parking lot data into a daily sum series for occupied_spaces — I have records for zones A and B from October 1–4, 2026, with values like 10, 20, 15, and 30 occupied spaces per day.","exampleUseCases":[{"title":"Daily occupancy trend for parking garage","prompt":"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?"},{"title":"Available spaces tracking for facility manager","prompt":"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."},{"title":"Parking utilization report for weekly review","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:23.524Z","isFirstParty":false,"canonicalSlug":"parking-utilization-daily-sum-series-56871883"}