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Research Task Completion — Exact Row Deduplication + Adjacent Row Changes
x402
Research Task Completion — Exact Row Deduplication + Adjacent Row Changes 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).
Deduplicates exact rows and computes adjacent row changes for research task completion records (completed_tasks or assigned_tasks) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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 independent analytical reports: (1) an exact row deduplication report identifying and removing fully duplicated rows from the input, and (2) an adjacent row changes report showing the row-over-row differences for the selected field (completed_tasks or assigned_tasks), both computed locally from the supplied data without external lookups.
Example use cases
Clean duplicate task records by group
“I have 120 rows of daily research task completion data across several company groups and I think there are duplicate entries — can you run exact row deduplication and also show me the adjacent row changes for completed_tasks so I can see how task counts shifted day by day?”
Monitor day-over-day assigned task shifts
“I need to track how assigned_tasks are changing from one row to the next in my research records — run the adjacent row changes report on the assigned_tasks field and also flag any exact duplicate rows in this dataset of 80 entries.”
Audit task completion data quality
“Before I pass this research task completion dataset to my dashboard, can you deduplicate it and calculate the row-over-row deltas for completed_tasks? The data has date, row_id, company_group, assigned_tasks, and completed_tasks columns, about 150 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-046?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate row detection and sequential row-over-row change analysis on research task completion data in a single call for up to 200 rows. It is ideal for data quality audits and trend monitoring on task tracking datasets where no live lookup or external enrichment is needed, and cost efficiency matters ($0.01 for both reports simultaneously).
Side effects
- Input exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, company_group) cause validation errors
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Field selector not one of the allowed enum values (completed_tasks, assigned_tasks)
- Null or out-of-range numeric values for task fields may affect delta computation
- Empty rows array (minItems:1 violated) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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