{"uid":"cap_mOZ--ZeIi_Q8VGc6IQNTe","slug":"backup-exercises-string-normalisation-daily-sum-series-b9d2e5aa","name":"Backup Exercises — String Normalisation + Daily Sum Series","description":"Backup exercises — String normalisation + Daily sum series: String normalisation + 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-05-027?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_MQ6VK8Do1Hf26CtVnoxjL","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 local analytical reports (string normalisation and daily sum series) on up to 200 rows of backup exercise records with restore_minutes and restored_gb fields.","exampleAgentPrompt":"Run string normalisation and a daily sum series on these backup exercise records — I have 4 rows with date, control_group, row_id, restore_minutes, and restored_gb — and focus the analysis on the restore_minutes field.","exampleUseCases":[{"title":"Daily restore volume trending","prompt":"I have a week's worth of backup exercise logs with dates, control groups, and restored_gb values — can you run a daily sum series on the restored_gb field across all 50 rows so I can see how much data was restored each day?"},{"title":"Normalizing control group labels","prompt":"My backup exercise dataset has inconsistent control_group strings across 120 rows — please run the string normalisation report on it using restore_minutes as the target field so the labels are cleaned up."},{"title":"Auditing restore time across groups","prompt":"Can you analyse these 30 backup exercise records and give me both the string normalisation output and a daily sum series for restore_minutes so I can audit how long restores are taking per day?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report that cleans and standardises text fields in the supplied rows, and (2) a daily sum series that aggregates the selected numeric field (restore_minutes or restored_gb) by date across all supplied rows. Both reports are computed locally with no external lookups.","failureModes":["Exceeding 200-row limit returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Null or out-of-range numeric values may be excluded from daily sums","Missing required fields (row_id, date) cause individual row failures","Invalid field enum value other than restore_minutes or restored_gb returns schema error"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and daily sum aggregation on backup exercise data (restore_minutes or restored_gb) in a single call for up to 200 rows, with no need for live lookups, predictions, or external integrations. It is cost-effective at $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:52.996Z","isFirstParty":false,"canonicalSlug":"backup-exercises-string-normalisation-daily-sum-series-b9d2e5aa"}