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Research Task Completion — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Research Task Completion — Record Quality Audit + String Normalisation + Two-Measure Correlation 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).
Audits quality, normalises strings, and computes correlation between completed_tasks and assigned_tasks for up to 200 research task completion records, returning three independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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 reports delivered together: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed dates; (2) a string normalisation report showing standardised forms of company_group values; and (3) a two-measure correlation analysis between completed_tasks and assigned_tasks, all computed locally against the supplied rows with no external lookups.
Example use cases
Task completion data quality check
“I've got 120 rows of research task completion data with company_group, date, completed_tasks, and assigned_tasks — can you run a record quality audit, normalise the company group strings, and tell me how correlated completed and assigned tasks are?”
Cross-group task performance correlation
“We track assigned and completed tasks across groups like 'group-a' and 'group-b' over the past quarter — run a quality audit on the records, clean up any string inconsistencies in the group names, and give me a correlation between the two task measures.”
Research pipeline data validation
“Before I finalise my research report, can you check my 80-row task dataset for record quality issues, normalise the company group field, and compute whether completed_tasks correlates with assigned_tasks across those entries?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of research task completion records (completed_tasks, assigned_tasks) and need three bundled local analytical reports — quality audit, string normalisation, and correlation — in a single low-cost call. Prefer it over general-purpose analytics APIs when you specifically need all three reports together on task completion data without any external lookups or live data enrichment.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, completed_tasks, assigned_tasks) cause row-level validation errors
- Date strings not matching YYYY-MM-DD pattern are flagged or rejected
- Numeric values outside ±1,000,000,000,000 boundary cause schema validation failure
- Insufficient numeric variance in either measure may prevent meaningful correlation computation
- Payment of 0.01 USDC not provided or declined — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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