# Release Readiness Record Quality Audit + String Normalisation + Numeric Row Ordering

> Release Readiness 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 2026-10-24).

Audits release readiness records for quality, normalises string fields, and orders rows numerically across checks_passed and checks_total columns — delivering 3 independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-12-196?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/release-readiness-record-quality-audit-string-normalisation-numeric-75364bd2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_plQXPKygmvZoLREo7ttKG

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 release-readiness-record-quality-audit-string-normalisation-numeric-75364bd2 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and numeric row ordering on my release readiness records — here are 4 rows with row IDs row-1 through row-4, components group-a and group-b, dates from 2026-10-01 to 2026-10-04, and checks_passed values of 10, 20, 15, 30 with checks_total of 1, 2, 3, 4 — and order by checks_passed?

## When to prefer this

Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) combination of data quality auditing, string normalisation, and numeric ordering specifically for release readiness records containing checks_passed and checks_total fields. It is ideal for CI/CD pipelines, pre-release validation workflows, or any scenario where you want three analytical perspectives on the same dataset in a single call without requiring external data sources or predictions.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, component, date, checks_passed, checks_total) — schema validation failure
- checks_passed or checks_total values outside allowed numeric range — rejection
- Invalid field selector (not checks_passed or checks_total) — enum validation error
- Payment not included or insufficient — x402 payment required response

## How this service works

Release readiness — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied release readiness records (checks_passed, checks_total). 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: (1) a record quality audit flagging issues in the supplied release readiness rows, (2) normalised string values for text fields like component names, and (3) rows reordered numerically by the selected field (checks_passed or checks_total). All processing is performed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/release-readiness-record-quality-audit-string-normalisation-numeric-75364bd2/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)