# Water Service Coverage Data Quality Audit Suite

> Water Service Coverage Data Quality Audit Suite is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Performs three analytical reports on water service coverage records: record quality audit, string normalisation, and duplicate key detection — all processed locally without external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-19-192?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/water-service-coverage-data-quality-audit-suite-1a7f0bbe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2IR-dQiwWEbOMqS5jrnD0

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-data-quality-audit-suite-1a7f0bbe -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and duplicate key check on my water service coverage data? I have about 50 rows with fields like row_id, region, date, served_households, and total_households — I need all three reports back.

## When to prefer this

Choose this endpoint when you need a bundled, cost-effective ($0.01 for all three reports) quality audit of water service coverage records — specifically when your data contains served_households and total_households fields and you need quality auditing, string normalisation, and duplicate detection in a single call without triggering any external lookups or predictions. Prefer alternatives if you need live data enrichment, geospatial lookups, or predictive analytics on coverage gaps.

## Known failure modes

- Exceeding 200 rows causes a validation error
- Rows missing required fields (row_id, region, date, served_households, total_households) are rejected
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- row_id values exceeding 80 characters are rejected
- Payment of 0.01 USDC not confirmed results in 402 Payment Required response
- Empty rows array is rejected (minItems: 1)

## How this service works

Water service coverage — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied water service coverage records (served_households, total_households). 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 structured reports: (1) a record quality audit flagging missing, null, or out-of-range values in served_households, total_households, date, region, and row_id fields; (2) a string normalisation report showing standardised versions of region and other string fields; (3) a duplicate key report identifying repeated row_id values across the submitted records. All analysis is performed locally on the submitted data (up to 200 rows) with no external data lookups.

## 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-data-quality-audit-suite-1a7f0bbe/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)