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Research Task Completion — Base-100 Series + Date by Category Pivot
x402
Research Task Completion — Base-100 Series + Date by Category Pivot 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).
Generates two analytical reports (Base-100 index series and a date-by-category pivot) from supplied research task completion data (completed_tasks and assigned_tasks) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 reports computed locally from the supplied data: (1) a Base-100 indexed series for the selected metric field (completed_tasks or assigned_tasks), rebased to the row at base_index; and (2) a date-by-category pivot table showing values broken down by date and company_group. Up to 200 input rows are supported. No external lookups or predictions are made.
Example use cases
Monthly task throughput trend report
“I have daily research task data for three company groups across the past quarter — completed_tasks and assigned_tasks per row. Can you index the completed_tasks to Base-100 starting at the first row and also pivot it by date and group so I can see how each group's throughput evolved?”
Cross-team completion rate comparison
“We track assigned and completed research tasks by team every day. Run me a Base-100 series on assigned_tasks starting from row index 0 and a date-by-category pivot so I can compare how different company groups are keeping up with their workloads over time.”
Research sprint progress baseline analysis
“I've got 150 rows of task completion records from our research teams — each row has a date, a company_group, and counts for completed_tasks and assigned_tasks. Normalize the completed_tasks to Base-100 from the first entry and pivot the data by date and group category so we can benchmark progress.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-167?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured research task completion records (completed_tasks, assigned_tasks) with dates and group labels, and need both a Base-100 normalized trend series and a date-by-category pivot in a single call. It is ideal for offline/batch analysis of up to 200 rows without needing external data, live predictions, or professional assessment. At $0.01 USDC for both reports together, it is cost-effective for routine productivity analytics.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, company_group) cause validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range (>=number of rows) causes computation error
- All values null for selected field results in empty or degenerate output
- field enum value not matching 'completed_tasks' or 'assigned_tasks' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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