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Research Task Completion — Numeric Interval Filter + Base-100 Series
x402
Research Task Completion — Numeric Interval Filter + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Analyzes supplied research task completion records (completed_tasks, assigned_tasks) by filtering rows to a numeric interval and generating a Base-100 indexed series, producing 2 reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 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 2 independent analytical reports: (1) rows filtered to the specified numeric interval on the chosen field (completed_tasks or assigned_tasks), and (2) a Base-100 rebased index series for the same field, anchored at the specified base_index row. Both are computed locally from the supplied data with no external lookups. Up to 200 input rows supported.
Example use cases
Normalize task completion trend for a team
“I have 50 daily records of completed_tasks and assigned_tasks across two company groups. Can you rebase the completed_tasks series to 100 at day 0, filter to values between 5 and 50, and give me both the interval-filtered report and the Base-100 series?”
Filter outlier task loads for a research sprint
“Here are 120 rows of research sprint data with completed_tasks and assigned_tasks per team group and date. Please filter assigned_tasks to the range 10 to 200 and produce a Base-100 indexed series starting at row index 5 — I need both reports to review workload distribution.”
Compare group task completion within a performance band
“I want to analyze task completion for groups A and B over Q4 — I'll supply 80 rows. Filter completed_tasks between 20 and 100, rebase to 100 at index 0, and generate the two analytical reports so I can compare group-level performance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of research task completion records (completed_tasks, assigned_tasks) and need both a numeric range filter and a Base-100 normalized time series in a single low-cost call ($0.01 USDC). Ideal for offline/batch analytics on supplied data where no live data fetch, prediction, or external lookup is required. Prefer this over general analytics APIs when you need the specific combination of interval filtering and Base-100 rebasing on task-tracking metrics across company groups.
Side effects
- Fewer than 1 or more than 200 rows supplied — validation error
- Invalid date format (not YYYY-MM-DD) causes row rejection
- minimum > maximum results in empty interval filter output
- base_index out of range (0–199) returns error
- Null values in completed_tasks or assigned_tasks may produce NaN in Base-100 series
- Missing required fields (row_id, company_group, date) cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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