# Schema Conformity String Normalisation and Secondary-Measure Weighted Mean

> Schema Conformity String Normalisation and Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).

Computes string normalisation and a secondary-measure weighted mean across up to 200 schema conformity records (valid_records, checked_records) and returns two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/schema-conformity-string-normalisation-and-secondary-measure-weighted-99b57451
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pOug8dogXnG-nxN1HXMad

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 schema-conformity-string-normalisation-and-secondary-measure-weighted-99b57451 -d '<json body>'
```

Example prompt: I have schema conformity records for four dataset groups from October 2026 — can you run string normalisation and a secondary-measure weighted mean on the valid_records field across those rows and give me two independent reports?

## When to prefer this

Choose this endpoint when you need both string normalisation and a weighted mean computed together on schema conformity data in a single call, with up to 200 rows and two reports returned simultaneously. It is best suited for batch data quality analytics workflows where no live external lookup or prediction is required and cost efficiency matters (two reports for $0.01 USDC).

## Known failure modes

- Submitting more than 200 rows causes rejection — payload must stay within the 200-row limit
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- Invalid date format (not YYYY-MM-DD) will fail pattern validation
- Null values in both valid_records and checked_records may produce undefined weighted mean results
- Selecting a field value outside the enum ['valid_records','checked_records'] returns a validation error

## How this service works

Schema conformity — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied schema conformity records (valid_records, checked_records). 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) string-normalised values for the selected field across all submitted rows, and (2) a secondary-measure weighted mean computed over the valid_records and checked_records columns, grouped by dataset_group and date. No external lookups or predictions are made — all computation is local and deterministic.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "valid_records",
     "checked_records"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "valid_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "checked_records": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "dataset_group": "group-a",
     "valid_records": 10,
     "checked_records": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "dataset_group": "group-b",
     "valid_records": 20,
     "checked_records": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "dataset_group": "group-a",
     "valid_records": 15,
     "checked_records": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "dataset_group": "group-b",
     "valid_records": 30,
     "checked_records": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_records",
    "checked_records"
   ],
   "type": "string",
   "default": "valid_records"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/schema-conformity-string-normalisation-and-secondary-measure-weighted-99b57451/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)