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Research Task Completion — String Normalisation + Two-Measure Correlation
x402
Research Task Completion — 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).
Normalises string fields and computes correlation between completed_tasks and assigned_tasks for up to 200 research task completion records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research task completion — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied research task completion records (completed_tasks, assigned_tasks). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports per call: one covering string normalisation of fields such as company_group, and one covering the Pearson or equivalent two-measure correlation between completed_tasks and assigned_tasks across up to 200 supplied rows. No live data lookups or external actions are performed.
Example use cases
Task completion rate correlation by company group
“I have daily records for two company groups showing how many tasks were assigned and completed each day throughout Q3. Can you normalize the group name strings and run a two-measure correlation between completed_tasks and assigned_tasks across all 150 rows?”
Research team performance benchmarking
“We track research task completion across several teams — can you clean up the team name strings and compute the correlation between assigned and completed tasks so I can see which groups are consistently keeping up with their workload?”
Monthly research output quality audit
“Here are 180 rows of research task records by date and company group. Please normalize the string fields and give me two correlation reports showing the relationship between how many tasks were assigned versus how many were actually completed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-22-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular research task completion data (up to 200 rows) and need both string normalisation of categorical fields and a statistical two-measure correlation between task counts — all in a single $0.01 USDC call. Prefer this over general-purpose analytics tools when you want lightweight, local analytical processing without external lookups or model inference.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, date, completed_tasks, assigned_tasks) — validation error
- Date field not matching YYYY-MM-DD pattern — schema rejection
- All completed_tasks or assigned_tasks values are null — correlation cannot be computed
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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