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Research Task Completion — Numeric Interval Filter + Daily Sum Series
x402
Research Task Completion — Numeric Interval Filter + Daily Sum 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 generates a daily sum time series on up to 200 research task completion records (completed_tasks, assigned_tasks), returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum 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
Two analytical reports: (1) a filtered dataset containing only rows where the chosen field (completed_tasks or assigned_tasks) falls within the specified [minimum, maximum] numeric interval, and (2) a daily sum time series aggregating that field's values by date — covering up to 200 input rows.
Example use cases
Research team productivity daily rollup
“Here are our research team's daily task records for Q3 — each row has a date, team group, completed_tasks, and assigned_tasks. Filter out rows where completed_tasks is below 2 or above 100, and give me a daily sum series for completed_tasks across all groups.”
Assigned task load interval analysis
“I've got 80 rows of research task assignment data by company group and date. Can you run a numeric interval filter keeping only rows where assigned_tasks is between 10 and 500, and also produce a daily sum series for the assigned_tasks field so I can see trends over time?”
Outlier-bounded completion trend report
“We track completed_tasks and assigned_tasks daily across several research groups — I have 200 rows here. Please filter to completed_tasks between 0 and 75 and generate a daily sum time series for completed_tasks so we can spot any unusual dips or spikes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected research task completion records (up to 200 rows) and need two bundled local analytical reports — a numeric interval filter and a daily sum series — without any external lookups, live data fetching, or predictions. It is cost-effective at $0.01 USDC for both reports simultaneously, making it ideal for lightweight offline analytics on task tracking datasets segmented by company group and date.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, completed_tasks, assigned_tasks) on any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Minimum value greater than maximum value — may yield empty filtered result set
- Numeric values outside ±1,000,000,000,000 range — schema rejection
- Empty rows array — rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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