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Time Entries Numeric Interval Filter
x402
Time Entries Numeric Interval Filter 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).
Filters time entry records (hours or billable_hours) to only those rows whose numeric value falls within a specified minimum–maximum range.
Price / call$0.01
Success—
StatusUnknown
How this service works
Time entries - Numeric interval filter: Numeric interval filter 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 numeric interval filter deliverable.
Output
A subset of the submitted time entry rows (up to 200 input rows supported) where the specified numeric field ('hours' or 'billable_hours') falls within the given minimum and maximum bounds. Each returned row preserves all original fields: row_id, project, date, hours, and billable_hours.
Example use cases
Overtime detection in timesheets
“I have a list of employee time entries for October — can you filter out only the rows where hours logged are between 40 and 80 so I can flag potential overtime?”
Billable hours compliance check
“From this batch of project time entries, show me only the records where billable_hours are between 5 and 20 — I need to spot entries that fall within our standard billing band.”
Exclude zero and extreme outlier entries
“I want to clean up my timesheet export — filter the rows by hours, keeping only entries where hours is between 0.5 and 12 to remove blanks and obvious data errors.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-range-filter?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a batch of time entry records (up to 200 rows) and need to subset them by a numeric range on hours or billable_hours fields, without any external data enrichment, forecasting, or aggregation. It is ideal for local data quality filtering, compliance checks, and pre-processing steps in a larger timesheet or billing pipeline. Prefer alternatives if you need aggregation, grouping by project, date-range filtering, or external data lookups.
Side effects
- No rows returned if none satisfy the min–max range (empty array result)
- Validation error if minimum is greater than maximum
- Input rejected if rows array is empty or exceeds 200 items
- Invalid field enum value (must be 'hours' or 'billable_hours') causes a schema error
- Malformed date strings (not YYYY-MM-DD) will fail schema validation
- Null numeric values in the target field may be excluded or cause unexpected filtering behavior
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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