# Image Exports Adjacent Row Changes and Explicit Missing-Value Fill

> Image Exports Adjacent Row Changes and 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 2026-10-30).

Computes adjacent row changes and fills missing values (zero/mean/median) in image export records containing width_pixels and height_pixels fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-17-162?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/image-exports-adjacent-row-changes-and-explicit-missing-value-fill-50d9ab51
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_b_UUDLhfHhvrofIvVuL2U

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-adjacent-row-changes-and-explicit-missing-value-fill-50d9ab51 -d '<json body>'
```

Example prompt: I have a set of image export records with dates, asset groups, and pixel dimensions — can you run adjacent row change detection and fill any missing width_pixels values using the median method on these rows?

## When to prefer this

Choose this endpoint when you have image export records with width_pixels and height_pixels and need both row-to-row change detection and missing-value imputation in a single $0.01 call. It is especially useful for data-quality pipelines where pixel dimension nulls must be filled before downstream analysis. Prefer it over generic stats endpoints when your data is specifically image export records with the asset_group and date structure expected here.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Both width_pixels and height_pixels are null for most rows, degrading mean/median fill quality
- Unknown field value outside enum causes validation error
- Empty rows array returns an error

## How this service works

Image exports — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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

Returns two reports: (1) an adjacent row change report showing the delta in the chosen pixel dimension (width_pixels or height_pixels) between consecutive rows, and (2) a missing-value fill report showing which rows had null values and what fill value was substituted using the selected method (zero, mean, or median). Both reports cover the same up to 200 supplied rows and are produced by local analytical engines with no external lookups.

## 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-adjacent-row-changes-and-explicit-missing-value-fill-50d9ab51/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)