# Data Validation Results – String Normalisation

> Data Validation Results – String Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Normalises and standardises string fields across up to 200 data validation result records, producing a bounded descriptive analytics report.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-normalise?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-validation-results-string-normalisation-25fb8c2b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__DImDnsLKIk63r2mQWNOm

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 data-validation-results-string-normalisation-25fb8c2b -d '<json body>'
```

Example prompt: Can you normalise the string fields in these 4 data validation records? The rows have rule names like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and checked/failed record counts — I need a clean normalisation report across all of them.

## When to prefer this

Choose this endpoint when you have structured data validation result records with string fields (rule names, row IDs, dates) that need normalisation and you want a lightweight, local descriptive analytics report for up to 200 records at very low cost. Prefer this over general-purpose string cleaning tools when your data specifically follows the validation results schema (row_id, rule, date, checked_records, failed_records) and you need a bounded, repeatable normalisation run without external enrichment.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, rule, date, checked_records, failed_records) on any row — schema validation failure
- Date field not matching YYYY-MM-DD pattern — rejected with pattern validation error
- Rule or row_id string exceeding 80 character limit — truncation or rejection
- checked_records or failed_records outside the allowed numeric range — validation error
- Payment of 0.01 USDC not provided via x402 protocol — payment required error

## How this service works

Data validation results - String normalisation: String normalisation for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded string normalisation report.

## Output

A bounded string normalisation report covering up to 200 validation result records, including normalised rule names, standardised date strings, and row identifiers, with local descriptive analytics summarising the normalisation applied — no external enrichment or forecasting.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-validation-results-string-normalisation-25fb8c2b/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)