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Research Task Completion — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Research Task Completion — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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).
Audits data quality, normalises strings, and produces grouped numeric summaries for research task completion records (completed_tasks, assigned_tasks) across up to 200 rows in three independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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 delivered together: (1) a record quality audit flagging null values, formatting issues, and anomalies in the supplied rows; (2) a string normalisation report standardising company_group and other text fields; and (3) a grouped numeric summary of the selected field (completed_tasks or assigned_tasks) aggregated by company_group. All computed locally from the supplied data with no external lookups.
Example use cases
Task completion data quality check
“I have a CSV of 150 research task records with row_id, company_group, date, completed_tasks, and assigned_tasks columns — can you audit them for quality issues, normalise the company_group strings, and give me a grouped numeric summary of completed_tasks all in one go?”
Grouped assigned tasks summary by team
“Run the three analytical reports on my 80-row task tracking dataset — I need a quality audit, string normalisation, and a grouped summary of the assigned_tasks field broken down by company_group.”
Research tracking data sanity check
“Before I share our research task completion data with stakeholders, can you validate the record quality, clean up string inconsistencies, and produce a grouped numeric breakdown of completed_tasks across our 40 company group entries?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytical reports — quality audit, string normalisation, and grouped numeric summary — on research task completion data in a single cheap call ($0.01 USDC). It is ideal for batch offline analysis of up to 200 rows without needing live prediction, external lookups, or professional assessments. Prefer it over single-report endpoints when you want all three perspectives at once for task tracking data specifically.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) causes rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Numeric values outside the allowed range trigger an error
- Empty rows array (minItems:1 not met) returns a bad request error
- Invalid field enum value (not 'completed_tasks' or 'assigned_tasks') causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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