# Export Validation — Exact Row Deduplication + Adjacent Row Changes

> Export Validation — Exact Row Deduplication + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs two analytical reports on export validation data: exact row deduplication detection and adjacent row change analysis, for up to 200 rows of valid_rows/exported_rows data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-046?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/export-validation-exact-row-deduplication-adjacent-row-changes-4981a893
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dzBdCBcqr5eW0GGfKHOgl

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 export-validation-exact-row-deduplication-adjacent-row-changes-4981a893 -d '<json body>'
```

Example prompt: Can you check this export validation dataset for exact duplicate rows and also flag adjacent row changes in the valid_rows field? I have up to 50 records with row_id, dataset_group, date, valid_rows, and exported_rows columns.

## When to prefer this

Choose this endpoint when you need two specific data quality checks — exact row deduplication and adjacent row change detection — on export validation records (valid_rows, exported_rows) in a single low-cost call. It is ideal for automated export pipeline QA, pre-delivery data integrity checks, or batch auditing of up to 200 rows at $0.01. Prefer it over general analytics APIs when your data is already structured with row_id, dataset_group, date, valid_rows, and exported_rows columns and you want fast local computation with no external data access.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation error
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) causes schema rejection
- Invalid field enum value (not 'valid_rows' or 'exported_rows') causes parameter error
- Numeric values outside allowed range cause validation failure
- Payment of 0.01 USDC not provided or declined results in 402 error

## How this service works

Export validation — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes for supplied export validation records (valid_rows, exported_rows). 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 independent analytical reports: (1) an exact row deduplication report identifying rows with identical field values across the submitted records, and (2) an adjacent row changes report showing value differences between consecutive rows for the selected field (valid_rows or exported_rows). Both reports are computed locally against the submitted data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/export-validation-exact-row-deduplication-adjacent-row-changes-4981a893/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)