# Code Review Data Quality Suite: Record Audit + String Normalisation + Numeric Row Ordering

> Code Review Data Quality Suite: Record 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 2026-10-25).

Runs three local analytical reports on code review records (pull requests, review hours): record quality audit, string normalisation, and numeric row ordering — no external lookups or predictions.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-11-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/code-review-data-quality-suite-record-audit-string-normalisation-96184acb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__on-OcUR89bmJNB8hPfki

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 code-review-data-quality-suite-record-audit-string-normalisation-96184acb -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric row ordering on my code review data? I have rows with pull_requests and review_hours fields — here's a sample: row-1, group-a, 2026-10-01, 10 pull requests, 1 review hour; row-2, group-b, 2026-10-02, 20 pull requests, 2 review hours. Sort by pull_requests.

## When to prefer this

Choose this endpoint when you need a bundled, affordable ($0.01) set of three data quality operations — audit, string normalisation, and numeric ordering — on up to 200 code review records in a single call, without needing live data lookups, ML predictions, or external integrations. Ideal for pre-import data cleaning or sprint reporting pipelines.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, component, date, pull_requests, review_hours) cause rejection
- Invalid date format (not YYYY-MM-DD) triggers a schema error
- Numeric values outside allowed range cause validation failure
- Empty rows array is rejected
- Payment not included or insufficient USDC causes x402 payment error

## How this service works

Code review — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied code review records (pull_requests, review_hours). 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 three independent analytical reports for the submitted code review rows: (1) a record quality audit flagging issues per row, (2) a string normalisation report for the component field, and (3) a numeric row ordering report ranked by the chosen field (pull_requests or review_hours). All processing is local with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/code-review-data-quality-suite-record-audit-string-normalisation-96184acb/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)