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Research Task Completion — Numeric Interval Filter + Trailing Mean Series
x402
Research Task Completion — Numeric Interval Filter + Trailing Mean Series 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).
Applies a numeric interval filter and computes a trailing mean series on research task completion data (completed_tasks, assigned_tasks) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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: one showing rows whose selected field (completed_tasks or assigned_tasks) falls within the specified numeric interval [minimum, maximum], and one showing a trailing moving average series computed over the specified window size for the selected field across the supplied records.
Example use cases
Research team productivity trend analysis
“Here are 120 daily records of completed_tasks and assigned_tasks across our research groups — filter to rows where completed_tasks is between 10 and 200, then run a trailing mean with a window of 5 on completed_tasks and give me both analytical reports.”
Outlier removal before rolling average
“I want to exclude any extreme values: filter my 80 research task rows to only those where assigned_tasks is between 0 and 500, then compute a trailing mean series with a window of 3 on assigned_tasks across company groups.”
Weekly smoothed completion rate for reporting
“Can you take these 200 rows of weekly research task completion data, filter to completed_tasks values between 1 and 1000, apply a trailing mean with a window of 4, and return both the interval-filtered report and the mean series?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-126?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 numeric range filter and a trailing moving average series computed locally without any external data lookup or prediction. It is ideal for preprocessing task data to remove outliers and simultaneously smooth trends, and delivers two reports in a single $0.01 call.
Side effects
- Input array has fewer than 1 row or more than 200 rows — rejected
- window value less than 2 or greater than 200 — validation error
- date field does not match YYYY-MM-DD pattern — schema rejection
- minimum greater than maximum — may return empty interval filter result
- null values in completed_tasks or assigned_tasks may be excluded from trailing mean calculation
- Missing required fields (row_id, company_group, date) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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