# Image Exports — String Normalisation + Keyed Dataset Comparison

> Image Exports — String Normalisation + Keyed Dataset Comparison 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).

Normalises string fields and performs keyed row-by-row comparison between two supplied image-export datasets (width_pixels, height_pixels) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-17-036?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-string-normalisation-keyed-dataset-comparison-0a0e0a42
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WWNoAJr9OeWOpQqmqEEaf

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-string-normalisation-keyed-dataset-comparison-0a0e0a42 -d '<json body>'
```

Example prompt: Compare these two sets of image export records for me — I have a 'rows' dataset and an 'other' dataset, each with row_id, asset_group, date, width_pixels, and height_pixels — normalise the string fields and give me a keyed comparison report showing where the pixel dimensions differ between the two.

## When to prefer this

Choose this endpoint when you need to locally compare two batches of image export records by key, with string field normalisation included, at very low cost ($0.01 USDC for both reports). It is best suited for offline/batch analytical work on up to 200 rows of width/height pixel data where no external lookup, live data fetch, or ML prediction is needed.

## Known failure modes

- Missing required fields (row_id, asset_group, date, width_pixels, height_pixels) cause validation errors
- Exceeding 200 rows per dataset triggers a row limit rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Mismatched row_ids between 'rows' and 'other' datasets may result in unmatched or skipped rows in comparison
- Empty array input (minItems: 1 not satisfied) returns an error

## How this service works

Image exports — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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 2 analytical reports: (1) a string normalisation report showing cleaned/standardised string field values across the supplied rows, and (2) a keyed dataset comparison report highlighting row-level differences in width_pixels and height_pixels between the 'rows' and 'other' input datasets, matched by row_id.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "width_pixels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "height_pixels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "width_pixels": 10,
     "height_pixels": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "width_pixels": 20,
     "height_pixels": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "width_pixels": 15,
     "height_pixels": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "width_pixels": 30,
     "height_pixels": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "width_pixels",
     "height_pixels"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": [
    {
     "da
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/image-exports-string-normalisation-keyed-dataset-comparison-0a0e0a42/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)