# Time Entries — Explicit Missing-Value Fill

> Time Entries — Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Fills missing numeric values (hours or billable_hours) in time entry records using zero, mean, or median imputation, returning up to 200 cleaned rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-time-entries-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/time-entries-explicit-missing-value-fill-51ba92e9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Sv7OOqVu2P7HZh_hA7NfH

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability time-entries-explicit-missing-value-fill-51ba92e9 -d '<json body>'
```

Example prompt: I have up to 200 time entry rows with some null 'hours' values — can you fill the missing ones using the median of the non-null values across the dataset?

## When to prefer this

Choose this endpoint when you have time entry records with null or missing numeric fields (hours or billable_hours) and need a quick, local imputation pass using zero, mean, or median fill before downstream billing, payroll, or analytics. It handles up to 200 rows per call with no external dependencies or enrichment — ideal for lightweight data-quality cleanup steps in an automated pipeline.

## Known failure modes

- Empty rows array or minItems violation returns a validation error
- rows array exceeds 200 items (maxItems limit) returns an error
- Invalid date format (not YYYY-MM-DD pattern) causes row-level validation failure
- Unknown method value outside zero/mean/median enum returns a schema error
- Unknown field value outside hours/billable_hours enum returns a schema error
- All values for the target field are null — mean/median imputation may return zero or an error
- row_id missing or empty string causes required-field validation failure

## How this service works

Time entries - Explicit missing-value fill: Explicit missing-value fill 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 explicit missing-value fill deliverable.

## Output

Returns the supplied time entry records with null or missing values in the specified field (hours or billable_hours) replaced according to the chosen method (zero, mean, or median). The result is a cleaned array of up to 200 typed records ready for downstream processing, billing, or reporting.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "project",
     "date",
     "hours",
     "billable_hours"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "project": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "billable_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "hours": 10,
     "row_id": "row-1",
     "project": "group-a",
     "billable_hours": 1
    },
    {
     "date": "2026-10-02",
     "hours": 20,
     "row_id": "row-2",
     "project": "group-b",
     "billable_hours": 2
    },
    {
     "date": "2026-10-03",
     "hours": 15,
     "row_id": "row-3",
     "project": "group-a",
     "billable_hours": 3
    },
    {
     "date": "2026-10-04",
     "hours": 30,
     "row_id": "row-4",
     "project": "group-b",
     "billable_hours": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "hours",
    "billable_hours"
   ],
   "type": "string",
   "default": "hours"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/time-entries-explicit-missing-value-fill-51ba92e9/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)