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Research Task Completion — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Research Task Completion — Adjacent Row Changes + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Daily task tracking data cleanup
“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.”
Assigned tasks audit for research teams
“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.”
Task completion trend anomaly detection
“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?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-162?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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