{"uid":"cap_F1rXGxdi68cUf1IGFmd5c","slug":"parking-utilization-two-measure-correlation-e67a3135","name":"Parking Utilization Two-Measure Correlation","description":"Parking utilization - Two-measure correlation: Two-measure correlation 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 two-measure correlation report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-parking-utilization-correlation?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}}},"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_0xmKUTEZdhGiyrkqFf3Se","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 bounded two-measure correlation report between occupied_spaces and available_spaces across parking zone records, using local descriptive analytics on up to 200 supplied rows.","exampleAgentPrompt":"Can you run a two-measure correlation analysis on my parking utilization data? I have up to 50 records with zone names like 'zone-A' and 'zone-B', dates in YYYY-MM-DD format, and columns for occupied_spaces and available_spaces — I want to know how strongly those two measures correlate.","exampleUseCases":[{"title":"Parking lot occupancy pattern analysis","prompt":"I have daily parking data for two zones — 'north-lot' and 'south-lot' — covering the last 30 days, each row has a date, how many spaces were occupied, and how many were available. Can you correlate occupied spaces against available spaces and tell me the strength of that relationship?"},{"title":"Multi-zone facility utilization review","prompt":"We manage five parking zones across our campus and I've got 120 rows of data with daily occupied and available space counts per zone. Run a correlation between occupied_spaces and available_spaces so I can understand if fuller lots tend to have fewer available spots in a statistically meaningful way."},{"title":"Parking revenue planning correlation check","prompt":"Before our quarterly planning meeting I need a quick descriptive correlation report — I have about 80 records across three parking zones with date, occupied_spaces, and available_spaces. Tell me how correlated those two measures are so I can decide if availability is a reliable inverse predictor of occupancy."}],"resultDescription":"A bounded two-measure correlation report quantifying the statistical relationship between occupied_spaces and available_spaces across the submitted parking zone records, including descriptive analytics such as correlation coefficient and summary statistics. No external enrichment or forecasting is included.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, zone, date, occupied_spaces, available_spaces) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure","All null values for one measure prevents correlation computation","Payment not provided or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 structured parking utilization records and need a fast, local descriptive correlation between occupied spaces and available spaces, without requiring external data enrichment or predictive forecasting. Ideal for facility managers or analysts who want a bounded, single-purpose statistical result at minimal cost ($0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T18:52:04.573Z","isFirstParty":false,"canonicalSlug":"parking-utilization-two-measure-correlation-e67a3135"}