{"uid":"cap_pSFrR9pP10H8mtNZRAwAU","slug":"research-task-completion-adjacent-row-changes-explicit-missing-value-1d0dcfa6","name":"Research Task Completion — Adjacent Row Changes + Explicit Missing-Value Fill","description":"Research task completion — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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-22-162?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_Qjqw0OLTStZwZCmmrDW3P","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 research task completion records (completed_tasks, assigned_tasks) by detecting adjacent row changes and filling missing values explicitly, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 4 rows of daily research task data for two company groups — can you run adjacent row change detection and fill any missing completed_tasks values using the median method? The rows are: 2026-10-01 row-1 group-a assigned=1 completed=10, 2026-10-02 row-2 group-b assigned=2 completed=20, 2026-10-03 row-3 group-a assigned=3 completed=null, 2026-10-04 row-4 group-b assigned=4 completed=30.","exampleUseCases":[{"title":"Daily task tracking data cleanup","prompt":"I have a week's worth of daily research task records across two company groups with some null completed_tasks values — please fill the missing values using the mean method and also flag any adjacent rows where the numbers changed significantly."},{"title":"Assigned tasks audit for research teams","prompt":"Run adjacent row change detection and median missing-value fill on my assigned_tasks field for these 10 rows of research team data, grouped by company — I need both reports to review before our Monday standup."},{"title":"Task completion trend anomaly detection","prompt":"I've got 50 rows of research task completion records from group-a and group-b spanning October, can you detect where values changed between consecutive rows and fill any nulls in completed_tasks with zero so I can audit the full dataset?"}],"resultDescription":"Two independent analytical reports: (1) an adjacent row changes report identifying where completed_tasks or assigned_tasks values shifted between consecutive rows, and (2) an explicit missing-value fill report showing which null entries were imputed and what values were used (zero, mean, or median), covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, company_group, date) — row rejected","Fill method not one of zero/mean/median — enum validation failure","Field not one of completed_tasks/assigned_tasks — enum validation failure","Empty rows array (minItems=1 violated) — request rejected"],"whenToPreferThis":"Choose this endpoint when you need both adjacent row change detection and missing-value imputation on task completion records in a single API call at low cost ($0.01 USDC for both reports). It is ideal for research operations teams that track completed_tasks and assigned_tasks per company group over time and need lightweight, offline data cleaning without live lookups or external data sources. Prefer it over general-purpose data tools when your dataset fits within 200 rows and you want two bundled analytical outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:25.478Z","isFirstParty":false,"canonicalSlug":"research-task-completion-adjacent-row-changes-explicit-missing-value-1d0dcfa6"}