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Time Entries Grouped Numeric Summary
x402
Time Entries Grouped Numeric Summary 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 a grouped numeric summary (e.g. sum, mean) of hours or billable_hours fields across time entry records, grouped by project.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time entries - Grouped numeric summary: Grouped numeric summary 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 grouped numeric summary deliverable.
Output
A grouped numeric summary of the requested field (hours or billable_hours) across the submitted time entry rows, organized by project. Returns aggregated statistics (such as totals or counts) per group, derived entirely from the supplied records with no external data enrichment.
Example use cases
Project hours rollup for billing
“I have this week's time entries across two projects — Alpha and Beta. Can you group them by project and give me a numeric summary of the hours field so I can see which project consumed the most time?”
Billable hours breakdown for client invoice
“Summarize these 12 time entry records by project and compute the grouped totals for billable_hours — I need the breakdown to prepare client invoices.”
Team productivity audit by project
“Here are 50 time log entries from my team across multiple projects. Group them by project and summarize the hours so I can see where time was actually spent this sprint.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-group-summary?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 time entry records and need a fast, local grouped numeric summary by project without external data enrichment. Ideal for billing, payroll prep, or sprint analytics where you already hold the raw time log data and simply need aggregated group-level statistics on hours or billable_hours.
Side effects
- Missing required fields (row_id, project, date, hours, billable_hours) returns validation error
- Submitting more than 200 rows exceeds maxItems and is rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Null numeric values may affect aggregate calculations
- Empty rows array (minItems:1 violated) returns error
- Invalid field enum value (not 'hours' or 'billable_hours') rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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