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Time Entries Category Frequencies
x402
Time Entries Category Frequencies 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 category frequency counts for time entry records grouped by project, returning how often each category appears across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time entries - Category frequencies: Category frequencies 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 category frequencies deliverable.
Output
Returns a frequency count (tally) of how many time entry records belong to each project category, derived from the submitted rows. Output reflects local numeric processing only — no external data is fetched or appended. The deliverable is a bounded category-frequency summary covering up to 200 input records.
Example use cases
Project workload distribution review
“I have a spreadsheet of time entries for October — can you count how many times each project shows up across these 50 rows so I can see which projects are consuming the most time-entry volume?”
Billable project category audit
“Run a category frequency count on these 120 time entry records from last quarter so I can see which projects are being logged against most often — I need the raw counts per project name.”
Freelancer time log summary
“Here are my time entries for the past month across three client projects. Can you tell me how many entries I logged for each project category? I'll paste in all 80 rows with their dates, hours, and billable hours.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01) frequency count of project categories from raw time entry records without needing external enrichment, forecasting, or ranking. It is ideal for local aggregate analytics on modest datasets (up to 200 rows) where the goal is simply to know how many entries fall into each project bucket. Prefer alternatives in the same sector for ranking, distribution summaries, or outlier detection.
Side effects
- Empty rows array or fewer than 1 item returns a validation error
- Missing required fields (row_id, project, date, hours, billable_hours) on any row causes rejection
- Date field not matching YYYY-MM-DD pattern causes schema validation failure
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Non-numeric values in hours or billable_hours fields cause type validation errors
- Payment not included or insufficient USDC causes 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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