{"uid":"cap_onZ3hXZblub-SMwzMVjTv","slug":"facilities-usage-duplicate-key-report-numeric-row-ordering-44820c77","name":"Facilities Usage — Duplicate Key Report + Numeric Row Ordering","description":"Facilities usage — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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-12-058?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},"field":{"enum":["occupied_seats","available_seats"],"type":"string","default":"occupied_seats"}}},"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_FQrIYJvHOdBGr3ZIJyYJs","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":"Analyzes up to 200 facilities usage records to produce a duplicate key report and numerically ordered row ranking for occupied_seats or available_seats fields.","exampleAgentPrompt":"Can you check my facilities usage data for duplicate row IDs and also rank the rows numerically by occupied_seats? I have records for groups A and B across several dates in October 2026 — up to 50 rows total.","exampleUseCases":[{"title":"Auditing venue seat data for duplicates","prompt":"I have a CSV of venue usage records with row IDs, team groups, dates, occupied seats, and available seats — can you run a duplicate key check to find any repeated row IDs and also sort the rows numerically by occupied_seats? There are about 80 rows."},{"title":"Ranking conference rooms by availability","prompt":"Take my facilities usage records for this quarter — about 120 rows — and give me a numeric ordering of rooms ranked by available_seats so I know which spaces are consistently underutilized, and also flag any duplicate row IDs in the dataset."},{"title":"Cleaning up imported facilities data","prompt":"I just imported facilities usage data from our legacy system into a spreadsheet — around 150 rows with occupied and available seat counts per team group and date. Can you run a duplicate key report to catch any import errors and also give me a numerically ordered ranking by occupied_seats?"}],"resultDescription":"Returns two reports: (1) a duplicate key report identifying any row_ids that appear more than once in the submitted dataset, and (2) a numerically ordered ranking of all rows sorted by the selected numeric field (occupied_seats or available_seats). No external data is fetched; all analysis is performed locally on the supplied rows.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, team_group, occupied_seats, available_seats) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","row_id exceeds 80 characters — field length validation error","Invalid field enum value (not occupied_seats or available_seats) — rejected input","Payment not included or insufficient USDC — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need both duplicate key detection and numeric row ordering on facilities usage data (occupied_seats, available_seats) in a single $0.01 call. It is purpose-built for seat occupancy records with team_group and date dimensions. Prefer it over generic data tools when you want a combined quality audit plus ranking report on up to 200 rows without any external lookups or live data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:29.073Z","isFirstParty":false,"canonicalSlug":"facilities-usage-duplicate-key-report-numeric-row-ordering-44820c77"}