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Time Entries Equal-Width Histogram
x402
Time Entries Equal-Width Histogram 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 an equal-width histogram over a numeric field (hours or billable_hours) from up to 200 time entry records, returning bin counts and boundaries.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time entries - Equal-width histogram: Equal-width histogram 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 equal-width histogram deliverable.
Output
Returns an equal-width histogram with up to 30 bins for the selected numeric field (hours or billable_hours), including bin boundaries (min/max of each bin) and the count of records falling within each bin. No external enrichment is performed — all computation is local to the supplied records.
Example use cases
Freelancer hours distribution check
“I have 80 time entry records from last month with row IDs, project names, dates, and hours logged. Can you create a 10-bin equal-width histogram of the hours field so I can see how my work sessions are distributed?”
Billable hours spread for client billing
“Here are 120 time entries for my consulting projects — each has a row_id, project, date, hours, and billable_hours. Please compute a 5-bin equal-width histogram on the billable_hours field so I can understand the distribution before invoicing.”
Team workload distribution analysis
“I've got 200 time entries from my team covering the last quarter, with row IDs, project tags, dates, and hours. Run an equal-width histogram on hours with 8 bins so I can see if workload is evenly spread or heavily skewed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw time entry records and need a quick frequency distribution (histogram) of hours or billable_hours without setting up a local analytics pipeline. It is ideal for small-to-medium datasets (up to 200 rows), requires no external data enrichment, and delivers results in a single low-cost call at $0.01 USDC. Prefer alternatives if you need statistical summaries beyond histograms, forecasting, or processing more than 200 records.
Side effects
- Empty or missing rows array returns an error
- rows exceeding 200 items are rejected
- invalid date format (not YYYY-MM-DD) causes validation failure
- bins value outside 1–30 range is rejected
- null values in the selected numeric field may affect bin counts or be excluded
- field enum value not matching 'hours' or 'billable_hours' causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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