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Research Task Completion Data Auditor — Quality Audit + String Normalisation + Numeric Interval Filter
x402
Research Task Completion Data Auditor — Quality Audit + String Normalisation + Numeric Interval Filter 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).
Runs three local analytical reports on research task completion records: a record quality audit, string normalisation, and a numeric interval filter for completed_tasks or assigned_tasks fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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
Returns three independent analytical reports: (1) a record quality audit flagging missing, malformed, or inconsistent fields; (2) a string normalisation report standardising company_group and other string columns; and (3) a numeric interval filter report identifying rows where the selected field (completed_tasks or assigned_tasks) falls within or outside the specified minimum–maximum range. All processing is local with no external lookups.
Example use cases
Research team data quality review
“I have 80 rows of research task completion data from multiple company groups — can you run a full record quality audit, normalise the company_group strings, and filter rows where completed_tasks is between 0 and 100?”
Filtering outlier task assignments
“Please check my assigned_tasks field across these 150 research completion records for values outside the range 1 to 500, and also audit record quality and standardise the string fields while you're at it.”
Cleaning task tracker export before reporting
“Before I send this task completion report to leadership, can you audit the record quality, normalise the company group names, and filter out any completed_tasks values that fall outside 10 to 200 for these 60 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit data quality, standardise string fields, and apply a numeric range filter on research task completion records in a single low-cost call. It is ideal for pre-processing task tracking exports before reporting or ingestion, where no live data lookup or external action is needed and up to 200 rows are involved.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) causes row rejection
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- minimum greater than maximum produces empty or undefined interval filter results
- Non-numeric values in completed_tasks or assigned_tasks cause type errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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