{"uid":"cap_Pruju_uT8Utr3TeuTESUm","slug":"facilities-usage-exact-row-deduplication-two-measure-correlation-48dd9922","name":"Facilities Usage — Exact Row Deduplication + Two-Measure Correlation","description":"Facilities usage — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied facilities usage records (occupied_seats, available_seats). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-12-050?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","occupied_seats","available_seats"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"team_group":{"type":"string","default":"","maxLength":80},"occupied_seats":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"available_seats":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","occupied_seats":10,"available_seats":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","occupied_seats":20,"available_seats":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","occupied_seats":15,"available_seats":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","occupied_seats":30,"available_seats":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_QxMJFkvJVjl6Z3q70oUCY","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":"Deduplicates exact duplicate rows and computes correlation between occupied_seats and available_seats across up to 200 facilities usage records, returning two analytical reports.","exampleAgentPrompt":"I have up to 200 rows of facilities usage records with occupied_seats and available_seats per team group and date — can you deduplicate exact duplicate rows and run a correlation analysis between those two seat measures, giving me two reports?","exampleUseCases":[{"title":"Workspace seat utilization audit","prompt":"I've got daily seat data for our offices — rows with date, team_group, occupied_seats, and available_seats. Some entries look duplicated. Can you strip the exact duplicate rows and tell me how strongly occupied seats correlate with available seats across those records?"},{"title":"Facilities team group comparison","prompt":"Here are 150 rows of facilities usage logs across group-a and group-b with occupied and available seat counts. Please deduplicate the dataset and compute the correlation between the two seat measures so I can report back to the facilities team."},{"title":"Event venue capacity analysis","prompt":"I have a CSV-style dataset with about 80 rows tracking occupied_seats and available_seats across several event dates and venue groups — some rows are duplicates. Run deduplication and give me a two-measure correlation report on the seat figures."}],"resultDescription":"Returns two analytical reports: (1) exact row deduplication results showing which rows were duplicated and the cleaned dataset, and (2) a correlation report quantifying the statistical relationship between occupied_seats and available_seats across the supplied records.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with row limit exceeded error","Missing required fields (row_id, date, occupied_seats, available_seats) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Null values for both measures in all rows — correlation cannot be computed","row_id exceeds 80 characters — field length validation failure"],"whenToPreferThis":"Choose this endpoint when you have up to 200 facilities usage records containing occupied_seats and available_seats and need both exact duplicate row removal and a two-measure correlation in a single low-cost call. It is ideal for lightweight data cleaning and quick statistical relationship checks on seat occupancy data without needing an external analytics platform or live data integration.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:38:27.106Z","isFirstParty":false,"canonicalSlug":"facilities-usage-exact-row-deduplication-two-measure-correlation-48dd9922"}