{"uid":"cap_CFoCT5kiZimupVS07GDLa","slug":"recovery-objectives-numeric-row-ordering-explicit-missing-value-fill-bc7219a7","name":"Recovery Objectives Numeric Row Ordering + Explicit Missing-Value Fill","description":"Recovery objectives — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied recovery objectives records (target_minutes, observed_minutes). 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-20-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","control_group","date","target_minutes","observed_minutes"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"control_group":{"type":"string","default":"","maxLength":80},"target_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","control_group":"group-a","target_minutes":10,"observed_minutes":1},{"date":"2026-10-02","row_id":"row-2","control_group":"group-b","target_minutes":20,"observed_minutes":2},{"date":"2026-10-03","row_id":"row-3","control_group":"group-a","target_minutes":15,"observed_minutes":3},{"date":"2026-10-04","row_id":"row-4","control_group":"group-b","target_minutes":30,"observed_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["target_minutes","observed_minutes"],"type":"string","default":"target_minutes"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_LpcIZgLrYxoRUy1nP_9OK","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":"Orders rows numerically by date and fills missing values (zero, mean, or median) in target_minutes or observed_minutes fields of recovery objectives records, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a dataset of recovery objective records with target_minutes and observed_minutes — some values are null — can you sort them by date and fill the missing target_minutes values using median imputation? I have about 50 rows across two control groups.","exampleUseCases":[{"title":"Impute missing RTO targets for audit","prompt":"I'm preparing a recovery objectives audit and some rows are missing target_minutes values. Can you sort the 80 rows by date and fill the missing target_minutes using median so the report is complete?"},{"title":"Fill observed_minutes gaps with zero baseline","prompt":"My incident recovery tracking sheet has null observed_minutes entries for some dates. Please order all 120 rows chronologically and replace the missing observed_minutes with zero so I can baseline the analysis."},{"title":"Two-report analysis of multi-group recovery data","prompt":"I've got recovery objectives data across two control groups — group-a and group-b — with some target_minutes nulls. Sort the 40 rows by date, fill missing target_minutes using mean, and give me both analytical reports."}],"resultDescription":"Returns 2 analytical reports covering the supplied recovery objectives records after numerically ordering rows by date and explicitly filling missing values in the selected field (target_minutes or observed_minutes) using the chosen method (zero, mean, or median). Reports are generated using local analytical engines with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, target_minutes, observed_minutes) cause schema rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Unsupported fill method or field enum value returns an error","Empty rows array rejected due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need a cheap ($0.01 USDC), offline, deterministic cleaning pass on recovery objectives records — specifically when you need both date-ordered row sorting and explicit null imputation (zero, mean, or median) on target_minutes or observed_minutes fields, and you want two bundled analytical reports out of the same call. Prefer this over general data cleaning tools when your data is specifically structured as recovery objective records with control groups and date-stamped minute measurements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-01T00:40:52.956Z","isFirstParty":false,"canonicalSlug":"recovery-objectives-numeric-row-ordering-explicit-missing-value-fill-bc7219a7"}