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Research Task Completion — Daily Sum Series + Keyed Dataset Comparison
x402
Research Task Completion — Daily Sum Series + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Analyzes research task completion records by computing a daily sum time series and comparing two keyed datasets side-by-side, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Daily sum series + Keyed dataset comparison: Daily sum series + Keyed dataset comparison 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 daily sum time series aggregating the selected field (completed_tasks or assigned_tasks) by date, and (2) a keyed dataset comparison highlighting row-level differences between the primary and secondary datasets. Both reports are computed locally with no external lookups.
Example use cases
Weekly task completion trend analysis
“Here are our research team's daily task logs for October — two datasets with date, company_group, completed_tasks, and assigned_tasks. Can you build a daily sum series for completed_tasks and compare the two datasets to see where the numbers differ?”
Cross-team assigned task volume comparison
“I've got two exports of assigned_tasks records from our two research groups for Q4, each with row_id, company_group, date, and task counts. Please run the daily sum series on assigned_tasks and do a keyed comparison between the two to highlight any mismatches.”
Before-and-after task completion audit
“We made process changes mid-month and I want to compare pre- and post-change task completion records. Both datasets have date, row_id, company_group, completed_tasks, and assigned_tasks fields — can you aggregate them into daily sums and show a side-by-side keyed diff?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily time series aggregation AND a keyed row-by-row comparison of two research task completion datasets in a single $0.01 call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external action is needed, and your data fits within 200 rows. Prefer it over separate aggregation and diff tools when you want two coordinated reports on the same task completion schema in one shot.
Side effects
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) will cause validation errors
- More than 200 rows submitted will exceed the row limit and be rejected
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Null or out-of-range numeric values beyond ±1,000,000,000,000 will be rejected
- Empty rows array will fail minItems:1 constraint
- Payment failure or insufficient USDC balance will prevent execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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