{"uid":"cap_OupcDodappdUbHRBJOEjk","slug":"backup-exercises-record-quality-audit-daily-sum-series-f300623e","name":"Backup Exercises Record Quality Audit + Daily Sum Series","description":"Backup exercises — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied backup exercises records (restore_minutes, restored_gb). 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-security-05-009?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","restore_minutes","restored_gb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"restored_gb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"control_group":{"type":"string","default":"","maxLength":80},"restore_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","restored_gb":1,"control_group":"group-a","restore_minutes":10},{"date":"2026-10-02","row_id":"row-2","restored_gb":2,"control_group":"group-b","restore_minutes":20},{"date":"2026-10-03","row_id":"row-3","restored_gb":3,"control_group":"group-a","restore_minutes":15},{"date":"2026-10-04","row_id":"row-4","restored_gb":4,"control_group":"group-b","restore_minutes":30}],"maxItems":200,"minItems":1},"field":{"enum":["restore_minutes","restored_gb"],"type":"string","default":"restore_minutes"}}},"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_PeG-niC23tLvS69kt52aP","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":"Runs two analytical reports (record quality audit and daily sum series) on up to 200 rows of backup exercise data (restore_minutes or restored_gb).","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my backup exercise data? I have rows with restore_minutes values across dates and control groups — here are up to 200 rows, and I want the analysis on restore_minutes.","exampleUseCases":[{"title":"Audit backup restore log quality","prompt":"I have a batch of backup exercise records with restore_minutes and restored_gb values across dates and control groups — can you run a record quality audit on them so I can see which rows have missing or suspicious values? Use restore_minutes as the focus field."},{"title":"Daily sum trend for restored gigabytes","prompt":"Take these backup exercise records and give me a daily sum series for restored_gb so I can see how much data was restored each day across my control groups."},{"title":"Pre-reporting data validation for backup ops","prompt":"Before I include this backup exercise dataset in my weekly ops report, can you run both a record quality audit and a daily sum series on these rows using restore_minutes, so I can catch any bad data and see the daily aggregates?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying missing, null, or anomalous values across the submitted rows, and (2) a daily sum series aggregating the selected numeric field (restore_minutes or restored_gb) by date. Both reports are computed locally against the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncated results","Invalid date format (not YYYY-MM-DD) may cause row rejection or parsing errors","Null values in the selected field are flagged in the quality audit but may reduce sum series completeness","Missing required fields (row_id, control_group, date) cause row-level validation failures","Empty rows array returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports — a data quality audit plus a daily aggregation series — on a modest batch of backup exercise records (up to 200 rows) without requiring any external data source, live lookup, or prediction. It is ideal for pre-reporting validation of backup restore logs where both completeness checking and daily trend summarization are needed in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:44.040Z","isFirstParty":false,"canonicalSlug":"backup-exercises-record-quality-audit-daily-sum-series-f300623e"}