{"uid":"cap_2aEea24i5v5ZIyot2UISZ","slug":"research-task-completion-adjacent-row-changes-iqr-outlier-flags-6935681e","name":"Research Task Completion — Adjacent Row Changes + IQR Outlier Flags","description":"Research task completion — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags 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-22-157?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_Yo2sWawWAHPmeiJSqrC8y","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 data by computing adjacent row changes and flagging IQR-based outliers across completed_tasks and assigned_tasks fields for up to 200 rows.","exampleAgentPrompt":"Can you analyze these 50 research task completion records for our company groups — run the adjacent row changes and IQR outlier detection on the completed_tasks field and tell me which rows look anomalous?","exampleUseCases":[{"title":"Detecting task completion spikes by team","prompt":"I have 120 rows of daily research task records across three company groups — can you run adjacent row change analysis and IQR outlier flagging on the completed_tasks field so I can see which dates had unusual jumps?"},{"title":"Auditing assigned task data quality","prompt":"Here are 80 rows of task assignment records — please check the assigned_tasks field for outliers using IQR and show me the row-to-row changes so I can spot any data entry errors."},{"title":"Monitoring research throughput irregularities","prompt":"I need to review my research team's output across company groups over the last quarter — run the sequential change and IQR outlier reports on my completed_tasks data for these 200 records so I can flag anything that looks off."}],"resultDescription":"Two independent analytical reports: (1) adjacent row changes showing the delta between consecutive rows for the selected field, and (2) IQR outlier flags identifying rows whose values fall outside the interquartile range fence — both computed locally without external lookups or predictions.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, company_group, date) cause validation failure","Null values in the selected metric field may reduce outlier detection accuracy","Invalid field enum value (not completed_tasks or assigned_tasks) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need lightweight, local statistical analysis on research task completion records — specifically adjacent row change detection and IQR-based outlier flagging — without requiring live data lookups, predictions, or external integrations. It is ideal for data quality audits and anomaly detection on batches of up to 200 rows at very low cost ($0.01 per call for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:45.553Z","isFirstParty":false,"canonicalSlug":"research-task-completion-adjacent-row-changes-iqr-outlier-flags-6935681e"}