# Water Service Coverage Record Quality Audit & String Normalisation

> Water Service Coverage Record Quality Audit & 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 2026-10-29).

Audits water service coverage records for quality issues and normalises region/date strings, producing two independent reports for up to 200 rows of household data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-19-001?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/water-service-coverage-record-quality-audit-string-normalisation-79c7ded0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__41i_2XrD6tk1uDBodqY5

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 water-service-coverage-record-quality-audit-string-normalisation-79c7ded0 -d '<json body>'
```

Example prompt: Can you audit these water service coverage records for data quality issues and normalise the region and date strings? I have 4 rows: row-1 with region 'group-a', date '2026-10-01', served_households 10, total_households 1; row-2 with region 'group-b', date '2026-10-02', served_households 20, total_households 2; row-3 with region 'group-a', date '2026-10-03', served_households 15, total_households 3; and row-4 with region 'group-b', date '2026-10-04', served_households 30, total_households 4.

## When to prefer this

Choose this endpoint when you have water service coverage tabular data (served_households, total_households per region and date) and need both a data quality audit and string normalisation in a single low-cost call. It is purpose-built for water utility/infrastructure coverage records specifically, as opposed to generic CSV validators. Best when batch processing up to 200 rows in one shot at fixed cost.

## Known failure modes

- Input array is empty (minItems:1 violation) — request rejected
- More than 200 rows submitted (maxItems:200 violation) — request rejected
- Row missing required fields (row_id, region, date, served_households, total_households) — validation error
- Date string not matching YYYY-MM-DD pattern — row-level error flagged
- Numeric values outside allowed range (-1T to +1T) — schema rejection
- Payment not provided or insufficient (x402 protocol) — 402 response

## How this service works

Water service coverage — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied water service coverage records (served_households, total_households). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two independent analytical reports: (1) a record quality audit identifying issues such as null values, impossible ratios (served > total households), out-of-range numbers, malformed dates, and missing fields across up to 200 rows; (2) a string normalisation report showing standardised/cleaned versions of region and date string fields. Reports are generated locally with no external lookups or live data access.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/water-service-coverage-record-quality-audit-string-normalisation-79c7ded0/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)