{"uid":"cap_SUKhnJc89ofplA14--oun","slug":"recovery-objectives-numeric-interval-filter-and-missing-value-fill-be6ccbcc","name":"Recovery Objectives Numeric Interval Filter and Missing-Value Fill","description":"Recovery objectives — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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-20-135?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_ENATpo69RlmX42CqYdEZu","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":"Filters recovery objective records (target_minutes, observed_minutes) to a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 rows of recovery objective records with target_minutes and observed_minutes — some values are null. Can you filter to only rows where target_minutes is between 0 and 100, fill any missing target_minutes values using median imputation, and give me two analytical reports?","exampleUseCases":[{"title":"Clinical recovery time data cleanup","prompt":"I've got 80 rows of patient recovery records with target_minutes and observed_minutes, but some observed_minutes entries are null. Filter them to the range 5 to 120 minutes, fill missing observed_minutes with the mean, and generate two reports on the cleaned data."},{"title":"SLA compliance interval analysis","prompt":"We track service recovery objectives across two control groups — can you filter our 200-row dataset so that target_minutes stays between 0 and 60, replace any missing target_minutes with zero, and run two analytical summaries?"},{"title":"Incident response metric imputation","prompt":"Here are 45 incident recovery records across group-a and group-b — some target_minutes are missing. Apply a numeric filter between 10 and 500 minutes, use median to fill the nulls, and produce two local analytical reports."}],"resultDescription":"Two independent analytical reports based on the filtered and imputed dataset: rows are restricted to the specified [minimum, maximum] interval on the chosen field, missing values in that field are filled using the chosen method (zero, mean, or median), and results are computed locally without external lookups or predictions.","failureModes":["Empty rows array or more than 200 rows submitted — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Minimum greater than maximum — may produce empty filtered result set","Field enum value not recognized — schema rejection","Null row_id or missing required fields — per-row validation error","Network or payment authorization failure — 402 or 5xx response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 recovery objective records (with target_minutes and observed_minutes fields) that need both numeric range filtering and null imputation in a single low-cost call ($0.01 USDC), and you want two analytical reports returned without any live data lookups, predictions, or external side effects. It is especially suitable for batch preprocessing of recovery metric data before further analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:22.407Z","isFirstParty":false,"canonicalSlug":"recovery-objectives-numeric-interval-filter-and-missing-value-fill-be6ccbcc"}