# Water Service Coverage — Adjacent Row Changes & Date-by-Category Pivot

> Water Service Coverage — Adjacent Row Changes & Date-by-Category Pivot 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).

Analyzes water service coverage records by computing adjacent row changes and a date-by-category pivot table for served_households or total_households data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-19-160?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-adjacent-row-changes-date-by-category-pivot-8f11850d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mcbyn0789mM_3W1HI8BIk

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-adjacent-row-changes-date-by-category-pivot-8f11850d -d '<json body>'
```

Example prompt: I have up to 200 rows of water service coverage records with served_households and total_households per region and date — can you run two reports: one showing adjacent row changes and one showing a date-by-category pivot, using served_households as the target field?

## When to prefer this

Choose this endpoint when you have structured water service coverage records (with served_households and total_households fields) and need both a sequential row-change analysis and a date-by-region pivot in a single low-cost call. Ideal for utility analysts, NGO data teams, or infrastructure monitoring agents who need quick local analytics on batch records without requiring external data sources or predictions.

## Known failure modes

- Missing required fields (row_id, region, date, served_households, total_households) returns validation error
- Date not matching YYYY-MM-DD pattern causes schema rejection
- More than 200 rows submitted exceeds maxItems limit
- Null numeric values may produce gaps in change calculations
- Payment of 0.01 USDC not completed results in 402 error

## How this service works

Water service coverage — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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) an adjacent row change report showing delta values between consecutive records for the selected field (served_households or total_households), and (2) a date-by-category pivot table cross-tabulating dates against region categories for up to 200 input rows. No external lookups or predictions — purely local computation on supplied data.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/water-service-coverage-adjacent-row-changes-date-by-category-pivot-8f11850d/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)