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Research Task Completion — Base-100 Series + Secondary-Measure Weighted Mean
x402
Research Task Completion — Base-100 Series + Secondary-Measure Weighted Mean 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).
Computes a Base-100 index series and a secondary-measure weighted mean for research task completion records (completed_tasks, assigned_tasks) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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 analytical reports: (1) a Base-100 index series showing how the selected measure (completed_tasks or assigned_tasks) evolves relative to the chosen base row, and (2) a secondary-measure weighted mean across the supplied rows — both computed locally on up to 200 input records without external lookups or predictions.
Example use cases
Monthly research team productivity benchmarking
“I have 12 months of task completion records for three research divisions — take completed_tasks as the primary field, anchor the index at row 0, and give me both the base-100 series and the weighted mean so I can see how each group trended relative to the baseline.”
Comparing assigned vs completed task load across groups
“Can you analyze my dataset of 50 research task rows across five company groups using assigned_tasks as the field, with base_index at row 0? I need the base-100 index series and the secondary-measure weighted mean to compare workload distribution.”
Quarterly sprint completion audit for research ops
“We have 80 rows of sprint-level task records — row_id, date, company_group, assigned_tasks, and completed_tasks — from the last quarter. Run the base-100 series on completed_tasks starting from base_index 0 and also give me the weighted mean report so we can assess completion efficiency.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-166?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a normalized Base-100 time series and a weighted mean for research task completion data (completed_tasks / assigned_tasks) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) grouped by company_group and date, where you want two complementary statistical summaries without building your own analytics pipeline. Prefer alternatives if you need live lookups, forecasting, or more than 200 rows.
Side effects
- More than 200 rows submitted — returns validation error
- Missing required fields (row_id, company_group, date, completed_tasks, or assigned_tasks) — returns schema error
- Invalid date format (not YYYY-MM-DD) — returns pattern validation error
- base_index out of range (>= number of rows) — returns index error
- All null values for selected field — computation may return null or error
- Payment not completed — returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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