# Image Exports – Numeric Interval Filter + Explicit Missing-Value Fill

> Image Exports – Numeric Interval Filter + 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 2026-10-25).

Filters image export records (width_pixels, height_pixels) to a numeric interval and fills missing values using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-17-135?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/image-exports-numeric-interval-filter-explicit-missing-value-fill-4f54172a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J5Mw06H6MpNh4cf6nQNUv

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-numeric-interval-filter-explicit-missing-value-fill-4f54172a -d '<json body>'
```

Example prompt: I have a batch of image export records with width_pixels and height_pixels — some values are null. Can you filter them to only keep rows where width_pixels is between 0 and 5000, fill any missing width_pixels using the median method, and give me 2 analytical reports? Here are up to 200 rows with row_id, asset_group, and date fields.

## When to prefer this

Choose this endpoint when you have a local batch of image export records (up to 200 rows) with width or height pixel dimensions that may contain nulls or out-of-range values, and you need both interval-filtered cleaning and explicit missing-value imputation in a single low-cost call. It is ideal for pre-processing creative asset metadata before downstream analytics or QA pipelines. It does not perform live lookups, predictions, or external actions.

## Known failure modes

- Rows array empty or exceeds 200 items — validation error
- Missing required fields (row_id, date, width_pixels, height_pixels) on any row — schema rejection
- Date field does not match YYYY-MM-DD pattern — validation error
- Minimum value greater than maximum value — may return empty filtered set
- Invalid fill method enum value — schema rejection
- Non-numeric values in width_pixels or height_pixels where number is expected — type error

## How this service works

Image exports — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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 up to 2 analytical reports on the supplied image export rows after applying the specified numeric interval filter (min/max) to the chosen field (width_pixels or height_pixels) and filling any null values using the selected method (zero, mean, or median). Reports cover the filtered and imputed dataset, summarizing the cleaned records.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/image-exports-numeric-interval-filter-explicit-missing-value-fill-4f54172a/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)