# Water Service Coverage — Grouped Numeric Summary + Base-100 Series

> Water Service Coverage — Grouped Numeric Summary + Base-100 Series 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).

Computes a grouped numeric summary and a Base-100 index series for water service coverage data (served_households, total_households) across regions and dates, returning two local analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-19-092?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/water-service-coverage-grouped-numeric-summary-base-100-series-4c423ba9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Er8vGpW1XMsX7JP2_11Ks

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-grouped-numeric-summary-base-100-series-4c423ba9 -d '<json body>'
```

Example prompt: I have water service coverage records for two regions across four dates — with served_households and total_households columns. Can you run a grouped numeric summary and a Base-100 index series on the served_households field, using row 0 as the base index?

## When to prefer this

Choose this endpoint when you have tabular water service coverage data (served_households, total_households) organized by region and date, and need both a grouped descriptive summary and a normalized Base-100 time series in a single $0.01 call. It is ideal for offline/batch analytical workflows where no live data lookup, external enrichment, or prediction is needed — just two complementary statistical reports computed locally over up to 200 rows.

## Known failure modes

- Input array is empty (minItems:1 violated) — validation error returned
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index references a row index beyond the array length — index out of range error
- Null values in the selected field may affect summary statistics or index computation
- Missing required fields (row_id, region, date, served_households, total_households) — validation error

## How this service works

Water service coverage — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 series 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 analytical reports: (1) a grouped numeric summary of the selected field (served_households or total_households) broken down by region, and (2) a Base-100 index series normalizing the field values relative to the specified base row — both computed locally over up to 200 input rows.

## 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
  },
  "field": {
   "enum": [
    "served_households",
    "total_households"
   ],
   "type": "string",
   "default": "served_households"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/water-service-coverage-grouped-numeric-summary-base-100-series-4c423ba9/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)