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Time Entries Date-by-Category Pivot
x402
Time Entries Date-by-Category Pivot 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).
Generates a date-by-category pivot table for time entry records, aggregating hours or billable hours by project across dates.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time entries - Date by category pivot: Date by category pivot 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 date by category pivot deliverable.
Output
A pivot table (matrix) where rows represent dates and columns represent project categories, with cells containing the aggregated value (hours or billable_hours) for each date-project combination, derived from up to 200 input time entry records.
Example use cases
Weekly project hours cross-tab
“I have a week's worth of time entries across three projects — can you pivot them by date and project so I can see how many hours were logged per project each day? Use total hours as the value field.”
Billable hours breakdown by client
“Take these 50 time log rows for October and generate a pivot showing billable hours grouped by project and date, so I can see which client categories racked up the most billable time on which days.”
Monthly timesheet audit pivot
“I need a date-by-project pivot of my team's time entries for the whole month — up to 200 rows — using the hours field, so I can spot gaps or spikes in any project's logged time across the calendar.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured date-by-project pivot of time entry records locally computed without external enrichment, especially when you have up to 200 rows of time tracking data and need a quick, inexpensive ($0.01 USDC) cross-tabulation of hours or billable hours by project and date.
Side effects
- Missing required fields (row_id, project, date, hours, billable_hours) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted returns an error
- Invalid field enum value (not 'hours' or 'billable_hours') causes a bad request
- Empty rows array is rejected
- Payment failure or insufficient USDC balance prevents processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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