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Research Task Completion — Category Frequencies + IQR Outlier Flags
x402
Research Task Completion — Category Frequencies + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes category frequencies and IQR-based outlier flags for research task completion records (completed_tasks, assigned_tasks) across up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Category frequencies + IQR outlier flags: Category frequencies + 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.
Output
Returns 2 independent analytical reports: (1) category frequency counts grouped by company_group or date for the selected field, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range for the chosen field (completed_tasks or assigned_tasks). No external data is used; analysis runs on supplied rows only.
Example use cases
Flagging anomalous team output
“I have 150 daily research task records across 5 company groups, each with completed_tasks and assigned_tasks counts — can you run IQR outlier detection on completed_tasks and also show me the frequency breakdown by company_group?”
Quality check on assigned task distribution
“Run category frequencies and IQR outlier flags on assigned_tasks for my dataset of research records — I want to spot any groups with suspiciously high or low assignment counts.”
Comparing task completion across research groups
“I've got a table of research task completion data with row_id, date, company_group, completed_tasks, and assigned_tasks — give me a frequency report by category and flag any rows where completed_tasks is an IQR outlier.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical analysis on task completion datasets up to 200 rows — specifically IQR outlier detection and category frequency summaries — without needing live lookups, ML predictions, or external enrichment. Ideal for research operations teams doing quick data quality checks or distribution analysis on completed vs assigned task records at very low cost ($0.01 per call).
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems exceeded, request rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, company_group, date) causes rejection
- Null values in both numeric fields may reduce outlier detection reliability
- Invalid field enum value (not 'completed_tasks' or 'assigned_tasks') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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