{"uid":"cap_lVzRX-7G77JxXSpNliiDN","slug":"shift-coverage-audit-record-quality-string-normalisation-numeric-row-67772632","name":"Shift Coverage Audit — Record Quality + String Normalisation + Numeric Row Ordering","description":"Shift coverage — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied shift coverage records (covered_hours, required_hours). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-operations-15-196?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"}}},"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_ZMxhGkeFt6VSx1DN8RSFQ","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":"Audits shift coverage records for quality issues, normalises team/date strings, and orders rows numerically across up to 200 supplied rows in three independent reports.","exampleAgentPrompt":"Can you run a full quality audit, string normalisation, and numeric row ordering on these shift coverage records? I have rows with fields like row_id, team_group, date, covered_hours, and required_hours — about 12 entries across two teams — and I want all three reports back on the covered_hours field.","exampleUseCases":[{"title":"Pre-import shift data validation","prompt":"Before I load this week's shift schedule into our HR system, can you audit these 40 shift coverage rows for data quality issues, normalise the team_group names, and rank them by covered_hours so I can spot gaps?"},{"title":"Weekly coverage gap detection","prompt":"I have shift records for our nursing teams from the past month — around 150 rows — can you run a record quality audit and numeric ordering on required_hours so I can see which shifts are furthest from being covered?"},{"title":"Team scheduling data clean-up","prompt":"Our scheduling export has messy team names and some null hours values across about 80 rows — can you audit the data quality, normalise the string fields, and sort everything by covered_hours so I get three clean reports back?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging malformed, missing, or out-of-range values in the shift rows; (2) a string normalisation report on fields like team_group and date; (3) a numeric row ordering report ranking rows by the selected field (covered_hours or required_hours). No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, covered_hours, required_hours) causes a schema rejection","Invalid date format (non-YYYY-MM-DD) triggers a pattern validation failure","Supplying an unsupported field enum value (not covered_hours or required_hours) causes an error","Empty rows array (minItems:1 violation) returns a schema error","Payment not included or insufficient causes x402 payment-required rejection"],"whenToPreferThis":"Choose this endpoint when you have raw shift coverage records (up to 200 rows) and need three simultaneous local analytical operations — quality auditing, string normalisation, and numeric ordering — bundled into one low-cost call. It is ideal for pre-pipeline data cleaning of workforce scheduling exports where no live data lookup, ML prediction, or external system integration is required. Prefer alternatives if you need forecasting, real-time shift availability checks, or more than 200 rows processed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:50.265Z","isFirstParty":false,"canonicalSlug":"shift-coverage-audit-record-quality-string-normalisation-numeric-row-67772632"}