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Research Task Completion — Adjacent Row Changes + IQR Outlier Flags
x402
Research Task Completion — Adjacent Row Changes + 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 research task completion data by computing adjacent row changes and flagging IQR-based outliers across completed_tasks and assigned_tasks fields for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Adjacent row changes + IQR outlier flags: Adjacent row changes + 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
Two independent analytical reports: (1) adjacent row changes showing the delta between consecutive rows for the selected field, and (2) IQR outlier flags identifying rows whose values fall outside the interquartile range fence — both computed locally without external lookups or predictions.
Example use cases
Detecting task completion spikes by team
“I have 120 rows of daily research task records across three company groups — can you run adjacent row change analysis and IQR outlier flagging on the completed_tasks field so I can see which dates had unusual jumps?”
Auditing assigned task data quality
“Here are 80 rows of task assignment records — please check the assigned_tasks field for outliers using IQR and show me the row-to-row changes so I can spot any data entry errors.”
Monitoring research throughput irregularities
“I need to review my research team's output across company groups over the last quarter — run the sequential change and IQR outlier reports on my completed_tasks data for these 200 records so I can flag anything that looks off.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-157?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical analysis on research task completion records — specifically adjacent row change detection and IQR-based outlier flagging — without requiring live data lookups, predictions, or external integrations. It is ideal for data quality audits and anomaly detection on batches of up to 200 rows at very low cost ($0.01 per call for both reports).
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, company_group, date) cause validation failure
- Null values in the selected metric field may reduce outlier detection accuracy
- Invalid field enum value (not completed_tasks or assigned_tasks) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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