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Research Task Completion — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Research Task Completion — Record Quality Audit + String Normalisation + 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).
Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 research task completion rows containing completed_tasks and assigned_tasks fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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: (1) a record quality audit flagging missing values, type errors, or structural issues; (2) a string normalisation report cleaning and standardising text fields like company_group; and (3) an adjacent row changes report highlighting value shifts between consecutive rows for the selected numeric field (completed_tasks or assigned_tasks). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Weekly task completion quality check
“I have 120 rows of weekly research task completion data with row IDs, company groups, dates, and completed_tasks counts. Can you audit the record quality, normalise the string fields, and show me where the completed_tasks values change between adjacent rows?”
Spot inconsistencies in assigned tasks data
“Run a quality audit and adjacent row change report on my assigned_tasks data — I've got about 80 rows covering different company groups across October 2026, and I want to see where the assigned_tasks numbers jump or drop between consecutive records.”
Clean and review multi-group task records
“I need three reports on my research completion records: a quality audit, string normalisation on the company_group labels, and an adjacent row comparison — I have 40 rows with company groups like 'group-a' and 'group-b' and I want to analyse the completed_tasks field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical passes — quality audit, string normalisation, and adjacent row change detection — on research task completion data (completed_tasks, assigned_tasks) in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows without needing live lookups, predictions, or external data enrichment.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- row_id missing or empty string fails minLength constraint
- field value not in enum ['completed_tasks','assigned_tasks'] returns error
- Numeric values outside ±1,000,000,000,000 range rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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