{"uid":"cap_x3KizJ6rveft8sROd8j-5","slug":"research-task-completion-numeric-distribution-missing-value-fill-8ee70fb2","name":"Research Task Completion — Numeric Distribution + Missing-Value Fill","description":"Research task completion — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied research task completion records (completed_tasks, assigned_tasks). 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-company-22-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","completed_tasks","assigned_tasks"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"company_group":{"type":"string","default":"","maxLength":80},"assigned_tasks":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"completed_tasks":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","company_group":"group-a","assigned_tasks":1,"completed_tasks":10},{"date":"2026-10-02","row_id":"row-2","company_group":"group-b","assigned_tasks":2,"completed_tasks":20},{"date":"2026-10-03","row_id":"row-3","company_group":"group-a","assigned_tasks":3,"completed_tasks":15},{"date":"2026-10-04","row_id":"row-4","company_group":"group-b","assigned_tasks":4,"completed_tasks":30}],"maxItems":200,"minItems":1},"field":{"enum":["completed_tasks","assigned_tasks"],"type":"string","default":"completed_tasks"},"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_kMaqd7SF-aU_QUOU6kr4w","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":"Analyzes up to 200 rows of research task completion records, producing a numeric distribution report and filling missing values in either completed_tasks or assigned_tasks using zero, mean, or median imputation.","exampleAgentPrompt":"I have up to 200 rows of research task completion records with company_group, date, completed_tasks, and assigned_tasks fields — can you run a numeric distribution report on completed_tasks and fill any missing values using median imputation on that same field?","exampleUseCases":[{"title":"Imputing missing task counts for research teams","prompt":"I have a dataset of research task records for group-a and group-b across October 2026, and some of the completed_tasks values are null — can you fill those gaps using median imputation and also give me a distribution report on completed_tasks?"},{"title":"Auditing assigned task spread across company groups","prompt":"Can you analyze the numeric distribution of assigned_tasks across my 150 research completion records and fill any missing assigned_tasks values with zero?"},{"title":"Preparing clean task data for a research report","prompt":"I need two reports on my research task completion data: a numeric distribution of the completed_tasks field and a mean-based fill for any missing completed_tasks — there are about 80 rows total across a few company groups."}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, histogram-like buckets) for the specified field (completed_tasks or assigned_tasks), and (2) an explicit missing-value fill report showing which rows had nulls and what values were imputed using the chosen method (zero, mean, or median). Covers up to 200 input rows with no external lookups or live data.","failureModes":["Rows array exceeds 200 items — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, company_group, date) — validation failure","Invalid enum for field or method — schema error","All values in target field are null — mean/median imputation may be undefined or return 0","Empty rows array — error or empty report returned"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 research task completion records (with completed_tasks and/or assigned_tasks numeric fields) and need both a statistical distribution summary and missing-value imputation in a single low-cost call ($0.01 USDC for both reports). Ideal when data is already in hand (no live lookup needed), you want offline analytical computation, and you need to choose a specific imputation strategy (zero, mean, or median). Prefer alternatives if you need outlier detection, time-series forecasting, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:19.208Z","isFirstParty":false,"canonicalSlug":"research-task-completion-numeric-distribution-missing-value-fill-8ee70fb2"}