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Research Task Completion — IQR Outlier Flags + Two-Measure Correlation
x402
Research Task Completion — IQR Outlier Flags + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Runs IQR-based outlier detection and two-measure correlation analysis on research task completion records (completed_tasks, assigned_tasks) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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 independent analytical reports: (1) IQR outlier flags identifying which rows have completed_tasks or assigned_tasks values outside the interquartile range bounds, and (2) a two-measure correlation report quantifying the statistical relationship between completed_tasks and assigned_tasks across all supplied rows. Up to 200 rows supported per call.
Example use cases
Flagging anomalous research sites
“I have daily task completion records for 12 research sites — can you flag any rows where completed_tasks looks like an outlier using IQR, and also tell me how correlated completed_tasks and assigned_tasks are across all rows?”
QA check on team productivity data
“Run an IQR outlier check and a correlation analysis on this batch of task records for my company groups — I want to know which dates or groups have suspiciously high or low completed_tasks values and whether assigned and completed tasks move together.”
Benchmarking task load vs output
“I've got assigned_tasks and completed_tasks logged per group over the past quarter, about 180 rows total — can you detect outliers with IQR and compute the correlation between those two measures so I can spot where workload and output are misaligned?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and Pearson/Spearman correlation analysis on research task completion data (completed_tasks, assigned_tasks) in a single call at low cost ($0.01 USDC for both reports). It is ideal for small-to-medium datasets up to 200 rows where no external data lookup, live prediction, or professional assessment is needed — purely local analytical computation on your supplied data.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, company_group) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- All null values in the selected measure field — correlation or IQR computation fails
- Fewer than minimum rows provided — insufficient data for meaningful IQR/correlation
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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