# Export Validation Analytics — Category Frequencies + Two-Measure Correlation

> Export Validation Analytics — Category Frequencies + 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 2026-10-24).

Computes category frequency counts and Pearson/rank correlation between valid_rows and exported_rows for up to 200 export validation records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-108?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-analytics-category-frequencies-two-measure-b90c73af
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZlZBDVeXQMomFw18Dm9OX

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-analytics-category-frequencies-two-measure-b90c73af -d '<json body>'
```

Example prompt: Can you run category frequency counts and a correlation analysis between valid_rows and exported_rows on my export validation data? I have 4 records: group-a on 2026-10-01 with 10 valid and 1 exported, group-b on 2026-10-02 with 20 valid and 2 exported, group-a on 2026-10-03 with 15 valid and 3 exported, and group-b on 2026-10-04 with 30 valid and 4 exported.

## When to prefer this

Choose this endpoint when you need both a categorical frequency summary and a two-measure correlation analysis on export validation data (valid_rows vs exported_rows) in a single low-cost call. It is ideal for small-to-medium datasets up to 200 rows where all data is supplied directly — no external data fetching, prediction, or professional assessment is needed. Prefer this over generic analytics tools when working within a structured export pipeline audit workflow that already has row_id, dataset_group, date, valid_rows, and exported_rows fields available.

## Known failure modes

- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Rows missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) fail schema validation
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Null values for both numeric measures may produce undefined correlation results

## How this service works

Export validation — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a two-measure correlation result quantifying the statistical relationship between valid_rows and exported_rows. Both reports are computed locally from the supplied 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/export-validation-analytics-category-frequencies-two-measure-b90c73af/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)