# Image Exports — Record Quality Audit + String Normalisation + Two-Measure Correlation

> Image Exports — Record Quality Audit + String Normalisation + Two-Measure Correlation 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).

Analyzes up to 200 image export records (width/height pixels) with three bundled reports: record quality audit, string normalization, and correlation between width and height measures.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-17-204?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-record-quality-audit-string-normalisation-two-measure-7be71fdd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ARWPCry7WiiLQBE_cEIFo

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-record-quality-audit-string-normalisation-two-measure-7be71fdd -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalization, and width-height correlation report on my image export records? I have about 50 rows with fields like row_id, asset_group, date, width_pixels, and height_pixels that I need checked.

## When to prefer this

Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) offline analysis of image export records covering data quality, string cleanliness, and dimensional correlation — all in a single call without any external lookups or live data dependencies. It is ideal for batch QA workflows on up to 200 image dimension records where you want three distinct analytical perspectives at once.

## Known failure modes

- Empty rows array or missing required fields (row_id) returns a validation error
- More than 200 rows submitted exceeds the per-call limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes row-level rejection
- All null values for width_pixels or height_pixels may prevent correlation computation
- Non-numeric values passed for pixel dimensions cause schema validation failure

## How this service works

Image exports — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation for supplied image exports records (width_pixels, height_pixels). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports for the submitted image export rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalization report standardizing asset_group and other string fields; and (3) a two-measure correlation report quantifying the statistical relationship between width_pixels and height_pixels across all submitted rows.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/image-exports-record-quality-audit-string-normalisation-two-measure-7be71fdd/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)
