# Export Validation Analytics — String Normalisation + Grouped Numeric Summary

> Export Validation Analytics — String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Normalises string fields and produces a grouped numeric summary for export validation records containing valid_rows and exported_rows metrics, processing up to 200 rows in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-023?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/export-validation-analytics-string-normalisation-grouped-numeric-29a9ee87
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nHGf6jQvu8CgbZ69Mdur_

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-string-normalisation-grouped-numeric-29a9ee87 -d '<json body>'
```

Example prompt: Can you normalise the string fields and give me a grouped numeric summary for my export validation records? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want the summary focused on the valid_rows field.

## When to prefer this

Choose this endpoint when you have export validation data with valid_rows and exported_rows fields and need both string normalisation and a grouped numeric summary in one call. It is particularly well-suited for ETL pipeline monitoring, export completeness auditing, and data quality checks where dataset groups need to be compared statistically. It does not perform live lookups, predictions, or external enrichment, so prefer it for purely analytical, offline batch summaries of up to 200 rows.

## Known failure modes

- Exceeding 200 rows causes a rejection or truncation error
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Null numeric values in the selected field may affect summary completeness
- Supplying fewer than 1 row returns an error due to minItems constraint

## How this service works

Export validation — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 string normalisation report cleaning dataset_group and related string fields, and (2) a grouped numeric summary aggregating the selected field (valid_rows or exported_rows) by dataset_group, covering up to 200 input rows. No external lookups or predictions are included.

## 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-analytics-string-normalisation-grouped-numeric-29a9ee87/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)