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Time Entries Two-Measure Correlation
x402
Time Entries 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 2026-10-15).
Computes the two-measure (Pearson-style) correlation between hours and billable_hours across up to 200 time entry records, locally, with no external enrichment.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time entries - Two-measure correlation: Two-measure correlation for Time entries. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded two-measure correlation deliverable.
Output
Returns a single bounded two-measure correlation deliverable: the computed correlation coefficient (and likely supporting data-quality metrics) between the 'hours' and 'billable_hours' fields across the submitted time entry rows. No external data is fetched; all processing is local and numeric.
Example use cases
Billing efficiency audit for a consultancy
“I have 50 time entry records from last quarter — each with a date, project name, total hours, and billable hours. Can you calculate the correlation between total hours logged and billable hours so I can see how tightly we're converting effort into billed time?”
Payroll vs billable discrepancy check
“We've got 120 timesheet rows with hours worked and billable hours for each employee-project day. Run the two-measure correlation on hours versus billable_hours so I can tell the finance team how strongly they move together.”
Project group comparison for resource planning
“Here are 80 time entries split across two project groups — group-alpha and group-beta — with dates, total hours, and billable hours. Compute the correlation between hours and billable hours so I know which group has more predictable billing behavior.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, self-contained statistical correlation between two numeric measures (hours and billable_hours) in time entry records, without involving external APIs or enrichment. It is ideal for billing audits, timesheet analysis, or workforce analytics pipelines where you have up to 200 structured time-tracking rows and want a single correlation coefficient with data-quality signals at minimal cost ($0.01 USDC per call).
Side effects
- Fewer than 1 row submitted — minimum items constraint violated
- More than 200 rows submitted — maxItems constraint exceeded
- Missing required fields (row_id, project, date, hours, billable_hours) on any row
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Null values in both numeric fields across all rows — insufficient data for correlation computation
- row_id empty or exceeds 80 characters — schema rejection
- Payment not fulfilled — x402 payment required before response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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