# Export Validation — Category Frequencies + Numeric Row Ordering

> Export Validation — Category Frequencies + Numeric Row Ordering 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).

Analyzes export validation records to produce two local reports: category frequency counts by dataset_group and numeric row ordering by valid_rows or exported_rows, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-100?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-category-frequencies-numeric-row-ordering-972f12ef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dfb7ymb6QDajc0oRqvpv2

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-category-frequencies-numeric-row-ordering-972f12ef -d '<json body>'
```

Example prompt: Analyze my export validation records — I have rows with dataset_group, valid_rows, and exported_rows fields — and give me two reports: a frequency count of each category group and the rows sorted by valid_rows. Here are my rows: row-1 (group-a, 2026-10-01, valid=10, exported=1), row-2 (group-b, 2026-10-02, valid=20, exported=2), row-3 (group-a, 2026-10-03, valid=15, exported=3).

## When to prefer this

Choose this endpoint when you need two bundled analytical reports — category frequency counts and numeric row ordering — on export validation records in a single cost-efficient call ($0.01 USDC for both). Ideal when you already have the data locally and need fast, offline-style statistical summaries without live lookups, external data enrichment, or ML predictions. Prefer over general analytics tools when working within the x402 micropayment ecosystem and needing reproducible, deterministic outputs on small-to-medium datasets (up to 200 rows).

## Known failure modes

- Submitting more than 200 rows returns an error (maxItems exceeded)
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) is rejected by the pattern constraint
- Null values in valid_rows or exported_rows are allowed but may affect ordering output
- Payment failure via x402 protocol results in no response

## How this service works

Export validation — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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) a frequency count showing how many records belong to each dataset_group category, and (2) a numeric row ordering of the submitted records ranked by the selected field (valid_rows or exported_rows). All computation is performed locally on the supplied data — no external lookups or predictions.

## 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-category-frequencies-numeric-row-ordering-972f12ef/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)