# Schema Conformity — Record Quality Audit + String Normalisation + Numeric Row Ordering

> Schema Conformity — Record Quality Audit + String Normalisation + Numeric Row Ordering 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).

Audits record quality, normalises strings, and orders rows numerically for schema conformity datasets containing valid_records and checked_records fields, producing 3 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-196?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-record-quality-audit-string-normalisation-numeric-cf817136
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sfFqjA77ELurX-Bj-NSWV

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-record-quality-audit-string-normalisation-numeric-cf817136 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric row ordering on my schema conformity data? I have rows with valid_records and checked_records for groups like 'group-a' and 'group-b' across dates in October 2026 — use valid_records as the primary field and send up all 4 rows.

## When to prefer this

Choose this endpoint when you have up to 200 rows of schema conformity data with valid_records and checked_records fields and need a bundled set of three analytical reports — quality audit, string normalisation, and numeric ordering — in a single low-cost call. It is ideal for data governance workflows, validation pipeline monitoring, and compliance reporting where no external data lookup or predictive modelling is required and all analysis is purely local over the supplied data.

## Known failure modes

- Fewer than 1 row submitted — minimum of 1 row required
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format in date field — must match YYYY-MM-DD pattern
- row_id missing or empty — required field with minimum length 1
- Numeric values for valid_records or checked_records outside ±1,000,000,000,000 range
- Invalid field enum value — must be either 'valid_records' or 'checked_records'
- Payment failure or insufficient USDC balance — 0.01 USDC required per call

## How this service works

Schema conformity — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns 3 independent analytical reports computed locally from the supplied data: (1) a record quality audit covering the valid_records and checked_records fields, (2) a string normalisation report for string fields such as dataset_group and date, and (3) a numeric row ordering report sorting rows by the selected numeric field. All reports are derived solely from the submitted rows with no external lookups.

## 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-record-quality-audit-string-normalisation-numeric-cf817136/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)