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Research Task Completion — Trailing Mean Series + Two-Measure Correlation
x402
Research Task Completion — Trailing Mean 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 2026-10-22).
Computes a trailing moving average series and a two-measure Pearson/rank correlation between completed_tasks and assigned_tasks for up to 200 rows of supplied research task completion data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Trailing mean series + Two-measure correlation: Trailing mean 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 for the supplied dataset: (1) a trailing mean series showing the rolling average of the selected field (completed_tasks or assigned_tasks) over the specified window, and (2) a two-measure correlation report quantifying the statistical relationship between completed_tasks and assigned_tasks. Both reports are computed locally on the submitted rows with no external data lookup.
Example use cases
Research team productivity trend analysis
“I have 120 rows of daily research task records for two company groups — can you run a trailing mean series with a window of 14 on completed_tasks and also show me the correlation between completed_tasks and assigned_tasks across the dataset?”
Comparing task assignment vs completion rates
“For my research operations data with 60 rows (each row has a date, company_group, completed_tasks, and assigned_tasks), run both a rolling mean with window size 5 and a two-measure correlation so I can see how closely assignment volume predicts completion volume.”
Smoothing noisy weekly task completion data
“My research tracking spreadsheet has about 150 rows of task data by date and group — can you apply a trailing mean with window 10 to the assigned_tasks field and also calculate the correlation between assigned and completed tasks to spot any lag patterns?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of research task completion records and need both a trailing mean time series and a correlation analysis between two numeric measures in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external action is needed — all computation runs on supplied data using local statistical engines.
Side effects
- Fewer than 1 row submitted — returns validation error
- Window size larger than number of rows — insufficient data for trailing mean
- Missing required fields (row_id, date, completed_tasks, assigned_tasks) in one or more rows — row rejected or error returned
- Date strings not in YYYY-MM-DD format — pattern validation failure
- More than 200 rows submitted — exceeds maxItems limit
- Null values in numeric fields may reduce effective sample size for correlation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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