{"uid":"cap_zZjG4xk2sUJ8VkUNnHPQo","slug":"research-task-completion-string-normalisation-adjacent-row-changes-85914d3e","name":"Research Task Completion — String Normalisation + Adjacent Row Changes","description":"Research task completion — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-22-029?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"}}},"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_wO3QrnGkbvyX6qz_aaGar","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 research task completion records, producing two local analytical reports: string normalization of company/group labels and adjacent-row delta computation for completed_tasks or assigned_tasks.","exampleAgentPrompt":"I have research task completion records for two company groups across four dates — can you normalize the company group strings and compute adjacent row changes for the completed_tasks field? Here are the rows: [{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}].","exampleUseCases":[{"title":"Day-over-day completed task deltas","prompt":"I've got a list of research task completion records for several company groups over the past month — can you normalize the company_group names and show me how completed_tasks changed between each consecutive row?"},{"title":"Assigned task sequential change tracking","prompt":"Can you run string normalization on the company group labels in my dataset and compute adjacent row differences for the assigned_tasks field? I have about 150 rows covering multiple groups and dates."},{"title":"Multi-group research progress audit","prompt":"I need to audit our research task records — please normalize the company group strings and calculate the row-by-row changes in completed_tasks so I can spot sudden drops or spikes across groups."}],"resultDescription":"Two analytical reports: (1) string-normalized versions of company_group and other text fields, and (2) adjacent-row delta values for the selected numeric field (completed_tasks or assigned_tasks), covering all submitted rows up to 200.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, company_group) cause rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array fails minItems constraint"],"whenToPreferThis":"Choose this endpoint when you need both string normalization of categorical labels and adjacent-row delta computation on research task completion data in a single call, without requiring any live data lookup or external service. It is ideal for lightweight, local analytical processing of up to 200 task records at minimal cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:39.450Z","isFirstParty":false,"canonicalSlug":"research-task-completion-string-normalisation-adjacent-row-changes-85914d3e"}