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Research Task Completion Data Auditor — Quality Audit, Deduplication & Numeric Ordering
x402
Research Task Completion Data Auditor — Quality Audit, Deduplication & Numeric Ordering 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).
Runs three analytical reports on research task completion records: record quality audit, exact row deduplication, and numeric row ordering — all processed locally without external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied research task completion records (completed_tasks, assigned_tasks). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports returned together: (1) a record quality audit flagging issues like missing values or out-of-range numbers in the selected field, (2) an exact row deduplication report identifying and removing identical rows, and (3) a numerically ordered version of the rows sorted by the selected numeric field (completed_tasks or assigned_tasks). All processing is done locally on the supplied data with no external calls.
Example use cases
Monthly task completion data cleanup
“I have 50 rows of monthly research task completion data with company groups and dates — can you run a quality audit, deduplicate any identical rows, and sort them numerically by assigned_tasks so I can review the clean dataset?”
Research study data integrity check
“Before I publish my research results, can you audit these task records for quality problems and flag any exact duplicate entries? Here are my completed_tasks and assigned_tasks values by group and date — up to 200 rows total.”
Team task tracking deduplication
“Our task tracker exported some records that might have duplicates and bad data — can you check the quality, deduplicate exact matches, and return them ordered numerically by completed_tasks? I'll send you the rows with row IDs, company groups, and dates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-213?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations on research task completion data (quality audit + deduplication + numeric ordering) in a single low-cost call, without needing live data lookup, ML predictions, or external integrations. Ideal for data cleaning pipelines, pre-publication data validation, and batch quality checks on up to 200 task completion records.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) in any row — validation error
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) — schema error
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Invalid field selector (not 'completed_tasks' or 'assigned_tasks') — enum error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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