# Export Validation — String Normalisation + Trailing Mean Series

> Export Validation — String Normalisation + Trailing Mean Series 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 local analytical reports (string normalisation and trailing mean series) on export validation row data (valid_rows, exported_rows) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-028?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-string-normalisation-trailing-mean-series-f956de99
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GwcD2YTqb5YGY0W-9dGWz

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-string-normalisation-trailing-mean-series-f956de99 -d '<json body>'
```

Example prompt: Can you run string normalisation and trailing mean series reports on my export validation data — I have rows with dataset_group, date, valid_rows, and exported_rows fields, I want the trailing mean on valid_rows with a window of 3, and I have about 50 rows to analyse?

## When to prefer this

Choose this endpoint when you need both string normalisation and trailing mean series analytics on export validation records (valid_rows, exported_rows) in a single low-cost call, without requiring live lookups, predictions, or external data enrichment. It is ideal for batch analysis of up to 200 rows where you want two distinct report types computed locally and returned together.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — rejected by schema validation
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Window size larger than the number of rows may produce sparse or empty trailing mean output
- Null values in valid_rows or exported_rows may cause gaps in the trailing mean series
- Missing required fields (row_id, dataset_group, date) cause individual row rejection

## How this service works

Export validation — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 computed locally on the supplied rows: (1) a string normalisation report standardising string fields such as dataset_group, and (2) a trailing mean series report showing rolling averages of the selected numeric field (valid_rows or exported_rows) over the specified window. No external lookups or predictions are made.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/export-validation-string-normalisation-trailing-mean-series-f956de99/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)