# Shift Coverage Audit — Record Quality + String Normalisation + Numeric Row Ordering

> Shift Coverage Audit — Record Quality + 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 2026-11-02).

Audits shift coverage records for quality issues, normalises team/date strings, and orders rows numerically across up to 200 supplied rows in three independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-15-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/shift-coverage-audit-record-quality-string-normalisation-numeric-row-67772632
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lVzRX-7G77JxXSpNliiDN

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 shift-coverage-audit-record-quality-string-normalisation-numeric-row-67772632 -d '<json body>'
```

Example prompt: Can you run a full quality audit, string normalisation, and numeric row ordering on these shift coverage records? I have rows with fields like row_id, team_group, date, covered_hours, and required_hours — about 12 entries across two teams — and I want all three reports back on the covered_hours field.

## When to prefer this

Choose this endpoint when you have raw shift coverage records (up to 200 rows) and need three simultaneous local analytical operations — quality auditing, string normalisation, and numeric ordering — bundled into one low-cost call. It is ideal for pre-pipeline data cleaning of workforce scheduling exports where no live data lookup, ML prediction, or external system integration is required. Prefer alternatives if you need forecasting, real-time shift availability checks, or more than 200 rows processed at once.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, covered_hours, required_hours) causes a schema rejection
- Invalid date format (non-YYYY-MM-DD) triggers a pattern validation failure
- Supplying an unsupported field enum value (not covered_hours or required_hours) causes an error
- Empty rows array (minItems:1 violation) returns a schema error
- Payment not included or insufficient causes x402 payment-required rejection

## How this service works

Shift coverage — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied shift coverage records (covered_hours, required_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

Three independent analytical reports: (1) a record quality audit flagging malformed, missing, or out-of-range values in the shift rows; (2) a string normalisation report on fields like team_group and date; (3) a numeric row ordering report ranking rows by the selected field (covered_hours or required_hours). No external lookups or predictions are made; all analysis is performed locally on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/shift-coverage-audit-record-quality-string-normalisation-numeric-row-67772632/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)