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Research Task Completion — Duplicate Key Report + Base-100 Series
x402
Research Task Completion — Duplicate Key Report + 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 2026-10-17).
Analyzes up to 200 rows of research task completion data to produce two reports: a duplicate key detection report and a base-100 indexed time series for completed_tasks or assigned_tasks.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Duplicate key report + Base-100 series: Duplicate key report + 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 two independent analytical reports: (1) a duplicate key report identifying any repeated row_id, company_group, or date combinations across up to 200 input rows, and (2) a base-100 indexed series for the selected field (completed_tasks or assigned_tasks) rebased to 100 at the specified base_index row, enabling relative trend comparison. No external lookups or live data are involved.
Example use cases
Duplicate detection in task records
“I have a spreadsheet of research task completions with row IDs, company groups, dates, and task counts — can you check it for any duplicate keys and also give me a base-100 series for completed_tasks starting from the first row?”
Baseline-indexed task completion trend
“Take my assigned_tasks data across these 150 rows for different company groups and dates, flag any duplicate row IDs, and index the assigned_tasks values to 100 starting at row 5 so I can compare growth across groups.”
Data quality audit before reporting
“Before I send this research task dataset to my manager, can you run it through a duplicate key check and produce a base-100 index on completed_tasks from row 0? I want to catch any bad data and see the normalized trend at the same time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and base-100 index normalization on the same batch of research task completion records in a single low-cost call. Ideal for data quality audits combined with trend baselining on small-to-medium datasets (up to 200 rows) without requiring external data sources, live lookups, or professional assessment.
Side effects
- Input array exceeds 200 rows — request rejected
- base_index value out of range for provided rows — error returned
- Missing required fields (row_id, date, completed_tasks, assigned_tasks) in one or more rows — validation error
- Malformed date format (not YYYY-MM-DD) — schema validation failure
- All-null values for selected field — base-100 computation may be undefined or return error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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