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Research Task Completion — Grouped Numeric Summary + IQR Outlier Flags
x402
Research Task Completion — Grouped Numeric Summary + 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 2026-10-22).
Computes grouped descriptive statistics and IQR-based outlier flags for research task completion records (completed_tasks or assigned_tasks), covering up to 200 rows in 2 bundled reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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 two bundled analytical reports: (1) a grouped numeric summary (e.g. mean, median, min, max, std dev) of the selected field (completed_tasks or assigned_tasks) broken down by company_group, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range. No external data is fetched; all analysis is performed on the supplied rows.
Example use cases
Detect outlier teams by task completion
“I have 120 rows of daily research task records with company groups, dates, completed_tasks, and assigned_tasks. Can you flag which rows have outlier completed_tasks values using IQR and also give me a grouped numeric summary by company group?”
Compare assigned tasks across company groups
“Run a grouped numeric summary and IQR outlier check on my assigned_tasks data — I've got records for groups A, B, and C across Q3 with row IDs, dates, and task counts. I want to see which groups or rows are statistical outliers.”
Audit research productivity data quality
“I need to audit our research team productivity dataset — about 80 rows with company_group, date, completed_tasks, and assigned_tasks. Give me a grouped summary and flag any IQR outliers in the completed_tasks column so I can spot data anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a tabular dataset of research task completion records (up to 200 rows) and need both a grouped descriptive summary and IQR outlier detection in a single low-cost call. It is ideal for offline/batch analytical use where no live data lookup or prediction is needed. The bundled 2-report format offers better value than calling separate summary and outlier endpoints individually.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — exceeds limit, request rejected
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in numeric fields may affect IQR calculation depending on implementation
- Invalid field enum value (not 'completed_tasks' or 'assigned_tasks') — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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