# Document Workflow Missing-Value Fill

> Document Workflow 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 2026-10-27).

Fills missing numeric values in document workflow records (documents count or processing_minutes) using zero, mean, or median imputation across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-document-workflow-fill-missing?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-27
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/document-workflow-missing-value-fill-f85795b4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CqBfWc1ADxTDb8E-sHj-v

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 document-workflow-missing-value-fill-f85795b4 -d '<json body>'
```

Example prompt: I have document workflow data for our departments with some null values in the 'documents' field — can you fill those missing values using median imputation across these rows: row-1 (group-a, 2026-10-01, documents=10, processing_minutes=5), row-2 (group-b, 2026-10-02, documents=null, processing_minutes=3), row-3 (group-a, 2026-10-03, documents=15, processing_minutes=null)?

## When to prefer this

Choose this endpoint when you have a small-to-medium dataset (≤200 rows) of document workflow records with missing numeric values in 'documents' or 'processing_minutes' fields and need a fast, cheap ($0.01) local imputation without external data enrichment or forecasting. Prefer this over general-purpose ETL tools when you want a simple, reproducible statistical fill (zero/mean/median) scoped to document processing analytics.

## Known failure modes

- All values in the target field are null — mean/median cannot be computed
- Rows exceed 200-item limit — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Field name not in allowed enum (documents, processing_minutes) — rejected
- Method not in allowed enum (zero, mean, median) — rejected
- Empty rows array — rejected

## How this service works

Document workflow - Explicit missing-value fill: Explicit missing-value fill for Document workflow. 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 input dataset with null or missing numeric values in the specified field (documents or processing_minutes) replaced by the chosen imputation value (zero, mean, or median computed from the non-null values in the submitted rows). Each row retains its row_id, department, date, and all other fields.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-workflow-missing-value-fill-f85795b4/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)