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Research Task Completion — Duplicate Key Report + IQR Outlier Flags
x402
Research Task Completion — Duplicate Key Report + 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 2026-10-17).
Analyzes up to 200 research task completion records to produce a duplicate key report and IQR-based outlier flags for completed_tasks or assigned_tasks fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Duplicate key report + IQR outlier flags: Duplicate key report + 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 independent analytical reports: (1) a duplicate key report identifying any rows sharing the same key fields, and (2) IQR-based outlier flags marking rows where the selected numeric field (completed_tasks or assigned_tasks) falls outside the interquartile range boundaries. No external lookups or predictions are made; all analysis is local and deterministic.
Example use cases
Audit research tracker for duplicate entries
“I have a dataset of research task completions with columns row_id, company_group, date, completed_tasks, and assigned_tasks. Can you run a duplicate key report and flag IQR outliers on completed_tasks so I can clean it up before reporting?”
Spot anomalous assigned task counts by group
“My research operations team submitted task data for several company groups across dates — can you check it for duplicate row IDs and flag any statistically unusual values in assigned_tasks using IQR outlier detection?”
Pre-submission data quality check on task records
“Before I submit these 150 research completion records, run a duplicate key check and IQR outlier report on the completed_tasks field so I can catch any data entry errors across the company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous duplicate-key detection and IQR-based outlier flagging on research task completion data (completed_tasks / assigned_tasks) in a single $0.01 call for up to 200 rows. Prefer it over general-purpose data tools when your data fits the specific schema (row_id, company_group, date, completed_tasks, assigned_tasks) and you want both reports in one lightweight, stateless call with no external dependencies.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Required fields (row_id, company_group, date, completed_tasks, assigned_tasks) missing from one or more rows — schema validation failure
- Date field does not match YYYY-MM-DD format — pattern validation error
- Numeric fields contain values outside allowed range (±1,000,000,000,000) — validation error
- All values in selected field are identical — IQR is zero, outlier detection may return no flags or edge-case behavior
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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