# Image Exports Quality Audit & Missing-Value Fill

> Image Exports Quality Audit & 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 2026-11-02).

Runs a record quality audit and explicit missing-value fill on image export records (width_pixels, height_pixels) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-17-019?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/image-exports-quality-audit-missing-value-fill-320f7d4d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-9QnVkKEukqB2S7xic981

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 image-exports-quality-audit-missing-value-fill-320f7d4d -d '<json body>'
```

Example prompt: Can you audit the quality of my image export records and fill in any missing width_pixels values using the median method? I have about 50 rows with fields like row_id, asset_group, date, width_pixels, and height_pixels.

## When to prefer this

Choose this endpoint when you need a combined data quality audit plus missing-value imputation specifically for image export records containing pixel dimension fields (width_pixels, height_pixels). It is ideal for preprocessing image asset datasets before downstream rendering or analytics pipelines, especially when you want both a quality report and filled values in a single low-cost call for up to 200 rows.

## Known failure modes

- Submitting more than 200 rows returns an error or truncated results
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id) causes validation failure
- Invalid fill method enum value causes request rejection
- Empty rows array returns an error

## How this service works

Image exports — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied image exports records (width_pixels, height_pixels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two independent reports: (1) a record quality audit identifying issues such as null, out-of-range, or malformed values across the submitted rows; (2) an explicit missing-value fill report showing which rows had null width_pixels or height_pixels and the imputed replacement values using the chosen method (zero, mean, or median). No external lookups or predictions are made — all analysis uses local analytical engines on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/image-exports-quality-audit-missing-value-fill-320f7d4d/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)