{"uid":"cap_LDM_FYBI1oYyQl2xEfkkq","slug":"resource-bookings-exact-row-deduplication-date-by-category-pivot-8c9051b5","name":"Resource Bookings — Exact Row Deduplication + Date by Category Pivot","description":"Resource bookings — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot for supplied resource bookings records (booked_hours, available_hours). 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-09-052?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","booked_hours","available_hours"],"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},"booked_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"available_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","booked_hours":10,"available_hours":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","booked_hours":20,"available_hours":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","booked_hours":15,"available_hours":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","booked_hours":30,"available_hours":4}],"maxItems":200,"minItems":1},"field":{"enum":["booked_hours","available_hours"],"type":"string","default":"booked_hours"}}},"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_Z6w5cmCPIzLM9MXodyTnN","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 produces a date-by-category pivot table from resource booking records (booked_hours, available_hours) for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 200 resource booking rows with columns row_id, team_group, date, booked_hours, and available_hours — can you run exact row deduplication and a date-by-category pivot on the booked_hours field for me?","exampleUseCases":[{"title":"Weekly team booking audit","prompt":"I've got 150 rows of weekly resource booking data with team_group, date, booked_hours, and available_hours — can you deduplicate the exact duplicates and pivot booked_hours by date and team group so I can see utilization at a glance?"},{"title":"Identifying scheduling data quality issues","prompt":"Our scheduling system exported these booking records and I suspect there are duplicate entries — can you run exact row deduplication and then pivot available_hours by date and team category so I can review what's actually clean?"},{"title":"Cross-team capacity comparison","prompt":"Here are 200 resource booking records across several team groups spanning last quarter — please deduplicate exact rows and give me a date-by-category pivot on booked_hours so I can compare capacity usage across teams over time."}],"resultDescription":"Returns two analytical reports derived from the supplied booking rows: (1) a deduplicated set of rows with exact duplicates removed, and (2) a pivot table cross-tabulating the selected metric (booked_hours or available_hours) by date and team_group category. Both reports are computed locally from the submitted data with no external lookups.","failureModes":["Input array is empty or missing — returns validation error","Row count exceeds 200 — request rejected","Required fields (row_id, team_group, date, booked_hours, available_hours) missing from one or more rows — validation error","Date field does not match YYYY-MM-DD pattern — schema validation failure","Invalid field enum value (not booked_hours or available_hours) — error response","Payment not provided or insufficient USDC — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 resource booking records with team_group and date dimensions and need both exact duplicate removal and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained analytics on scheduling or workforce data without needing a full data warehouse. Prefer alternatives if you need more than 200 rows, predictions, live data lookups, or additional report types beyond deduplication and pivot.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:45:23.230Z","isFirstParty":false,"canonicalSlug":"resource-bookings-exact-row-deduplication-date-by-category-pivot-8c9051b5"}