{"uid":"cap_jjmS2RBOLLDzkhTBHZ8LP","slug":"shift-coverage-deduplication-base-100-series-analyzer-3bc011ea","name":"Shift Coverage Deduplication & Base-100 Series Analyzer","description":"Shift coverage — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied shift coverage records (covered_hours, required_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-15-047?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","team_group","date","covered_hours","required_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},"covered_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"required_hours":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","team_group":"group-a","covered_hours":10,"required_hours":1},{"date":"2026-10-02","row_id":"row-2","team_group":"group-b","covered_hours":20,"required_hours":2},{"date":"2026-10-03","row_id":"row-3","team_group":"group-a","covered_hours":15,"required_hours":3},{"date":"2026-10-04","row_id":"row-4","team_group":"group-b","covered_hours":30,"required_hours":4}],"maxItems":200,"minItems":1},"field":{"enum":["covered_hours","required_hours"],"type":"string","default":"covered_hours"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_XgHABuhJkiqA5RsxjLsUl","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 shift coverage records and computes a base-100 indexed time series for covered_hours or required_hours across up to 200 rows.","exampleAgentPrompt":"I have shift coverage data for two teams over October 2026 — can you deduplicate the rows and then build a base-100 index series on covered_hours starting from row index 0? Here are the records: row-1 group-a 2026-10-01 covered=10 required=1, row-2 group-b 2026-10-02 covered=20 required=2, row-3 group-a 2026-10-03 covered=15 required=3, row-4 group-b 2026-10-04 covered=30 required=4.","exampleUseCases":[{"title":"Weekly staffing coverage audit","prompt":"I've got 150 shift records for my nursing teams across the last month — can you deduplicate any exact duplicate rows and give me a base-100 index series on covered_hours anchored to the first row so I can see coverage trends over time?"},{"title":"Cross-team required hours benchmarking","prompt":"Here are 80 shift records across four team groups for Q3 — please remove any duplicates and then compute a base-100 series on required_hours starting from row 0 so I can benchmark each team's workload relative to that baseline."},{"title":"Shift data quality cleanup before reporting","prompt":"Before I send this shift coverage report to management, can you run exact deduplication on these 60 rows and also generate a base-100 index on covered_hours from row index 0? I want to make sure there's no redundant data and I can show normalized coverage trends."}],"resultDescription":"Returns two reports for the submitted shift coverage rows: (1) an exact row deduplication report identifying and removing identical records, and (2) a base-100 indexed time series for the selected field (covered_hours or required_hours) anchored at the specified base_index row, enabling normalized trend analysis across up to 200 rows.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, team_group, date, covered_hours, required_hours) on any row","Invalid date format — must match YYYY-MM-DD pattern","base_index out of range (must be 0–199 and within submitted row count)","Field value not in enum ['covered_hours', 'required_hours']","Null values in covered_hours or required_hours may affect index computation","Payment failure via x402 protocol blocks execution"],"whenToPreferThis":"Choose this endpoint when you need to both clean duplicate shift records and produce a normalized base-100 time series from your own supplied data in a single $0.01 call, with no external data lookups or predictions. It is ideal for operations analysts who want two distinct analytical outputs — deduplication and indexing — from up to 200 shift coverage rows without involving external staffing systems or live scheduling APIs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:04.969Z","isFirstParty":false,"canonicalSlug":"shift-coverage-deduplication-base-100-series-analyzer-3bc011ea"}