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Research Task Completion — Base-100 Series + Two-Measure Correlation
x402
Research Task Completion — Base-100 Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes a Base-100 indexed time series and a two-measure correlation report for research task completion data (completed_tasks and assigned_tasks) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 normalized time series for the selected field (completed_tasks or assigned_tasks), anchored at the specified base_index row, showing relative change over time per group; and (2) a two-measure correlation report quantifying the statistical relationship between completed_tasks and assigned_tasks across the supplied dataset. All computation is performed locally on the supplied data with no external lookups.
Example use cases
Research team productivity benchmarking
“I have daily task completion records for three research groups from Q4 2025 — each row has a date, group name, assigned_tasks, and completed_tasks. Can you index completed_tasks to Base-100 starting at row 0 and also run a correlation between completed_tasks and assigned_tasks across all groups?”
Multi-group task assignment vs completion analysis
“Here are 150 rows of data tracking assigned and completed research tasks across group-a and group-b over six months. Give me a Base-100 series on assigned_tasks with base index at row 0, plus the two-measure correlation report between assigned_tasks and completed_tasks.”
Quarterly research output normalization
“I need to normalize my team's completed research tasks to a Base-100 index for Q3 2025 — I have about 90 rows with dates, company group, completed_tasks, and assigned_tasks. Set the base at row 0 and include a correlation between completed_tasks and assigned_tasks.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of research task tracking data with completed_tasks and assigned_tasks fields and need both a Base-100 normalized trend series and a two-measure correlation in a single low-cost call. It is ideal for offline, supply-your-own-data analytical workflows where no live data lookup or prediction is needed, and where the $0.01 fixed price for two bundled reports provides clear cost efficiency.
Side effects
- Missing required fields (row_id, date, company_group, completed_tasks, assigned_tasks) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit
- base_index value out of range (0–199) causes rejection
- All null values in the target field may produce undefined correlation results
- Payment of 0.01 USDC not included or rejected blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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