# Export Validation — Numeric Row Ordering + Trailing Mean Series

> Export Validation — Numeric Row Ordering + 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).

Validates export records by computing numeric row ordering and trailing mean series for valid_rows and exported_rows fields across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-14-115?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-numeric-row-ordering-trailing-mean-series-46a12707
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_inyoW3AOyMTIhX6NzlrYf

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-numeric-row-ordering-trailing-mean-series-46a12707 -d '<json body>'
```

Example prompt: Validate my export records using numeric row ordering and trailing mean series — here are 4 rows with row IDs row-1 through row-4, dataset groups group-a and group-b, dates 2026-10-01 to 2026-10-04, valid_rows values of 10, 20, 15, 30 and exported_rows of 1, 2, 3, 4; run both reports on the valid_rows field with a window size of 3.

## When to prefer this

Choose this endpoint when you need both numeric row ordering and trailing mean series analytics on export validation data (valid_rows, exported_rows) in a single call. It is ideal for lightweight, local ETL audits where no external data lookup or prediction is required, and when your dataset fits within 200 rows. Prefer it over broader data reconciliation endpoints when your specific focus is export validation with these two analytical techniques combined.

## Known failure modes

- Fewer than 1 row supplied — minItems:1 not satisfied
- More than 200 rows supplied — maxItems:200 exceeded
- Invalid date format — must match YYYY-MM-DD pattern
- Window size less than 2 or greater than 200 — out of range
- Field value outside allowed numeric range (±1,000,000,000,000)
- Missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) on any row
- Invalid field enum — must be 'valid_rows' or 'exported_rows'
- Payment failure — 0.01 USDC not successfully processed via x402

## How this service works

Export validation — Numeric row ordering + Trailing mean series: Numeric row ordering + 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 analytical reports: (1) a numeric row ordering report ranking the supplied rows by the selected field, and (2) a trailing mean series report computing rolling window averages of the selected field (valid_rows or exported_rows) across the provided rows. No external lookups or predictions are made — all analysis is performed on the supplied data only.

## 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-numeric-row-ordering-trailing-mean-series-46a12707/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)