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Research Task Completion — Secondary-Measure Weighted Mean + Keyed Dataset Comparison
x402
Research Task Completion — Secondary-Measure Weighted Mean + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 rows of research task completion records (completed_tasks, assigned_tasks), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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 secondary-measure weighted mean computed over the supplied rows for the chosen field (completed_tasks or assigned_tasks), and (2) a keyed dataset comparison highlighting differences between the primary and secondary (other) datasets, all computed locally without any external lookups or predictions.
Example use cases
Team productivity weighted mean comparison
“I have two months of task completion records for our research teams — about 120 rows each with completed_tasks and assigned_tasks per group and date. Can you compute the secondary-measure weighted mean and compare the two datasets keyed by row to show where numbers diverged?”
Quarterly research output group analysis
“Run a weighted mean on completed_tasks for these 80 rows of quarterly research task data broken down by company_group, and also do a keyed comparison against last quarter's dataset so I can see what changed.”
Assigned vs completed tasks discrepancy report
“I want to analyze assigned_tasks as the target field — here are two sets of project records with up to 150 rows each. Give me the secondary-measure weighted mean and flag any keyed differences between the two datasets by row ID and company group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean aggregation and a keyed dataset comparison for research task completion records in a single $0.01 call, with no need for external data enrichment, prediction, or live lookups. Best suited for batch analytical reporting on up to 200 rows of tabular task data with company group and date dimensions.
Side effects
- Input rows array empty or missing (minItems: 1 violated)
- More than 200 rows submitted (maxItems: 200 exceeded)
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required row fields: row_id, company_group, date, completed_tasks, or assigned_tasks
- Numeric values outside allowed range (-1e12 to 1e12)
- row_id exceeds 80 character limit or is empty
- field enum value not one of: completed_tasks, assigned_tasks
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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