# Water Service Coverage Analytics — Adjacent Row Changes & Secondary-Measure Weighted Mean

> Water Service Coverage Analytics — Adjacent Row Changes & Secondary-Measure Weighted Mean 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 adjacent row changes and secondary-measure weighted mean for water service coverage data (served_households, total_households) across up to 200 rows in two bundled local analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-19-159?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-analytics-adjacent-row-changes-secondary-ac515556
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-9mL9xmac8_SjDwcZ7F8S

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-analytics-adjacent-row-changes-secondary-ac515556 -d '<json body>'
```

Example prompt: I have a dataset of water service coverage records with region, date, served_households, and total_households columns — can you run two reports on it: one showing adjacent row changes and one computing the secondary-measure weighted mean for the served_households field across up to 200 rows?

## When to prefer this

Choose this endpoint when you need both adjacent row change analysis and secondary-measure weighted mean in a single low-cost call ($0.01 USDC for both reports) on water service coverage datasets up to 200 rows. Prefer it over general-purpose analytics tools when your data specifically involves served_households and total_households fields and you want offline/local computation with no external data dependencies or predictions.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, region, date, served_households, total_households) causes rejection
- Invalid date format (non YYYY-MM-DD) triggers schema validation failure
- Null values in numeric fields may affect weighted mean computation
- Payment failure (insufficient USDC balance) blocks execution via x402 protocol

## How this service works

Water service coverage — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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

Returns two analytical reports: (1) adjacent row change values for each row in the submitted dataset, and (2) a secondary-measure weighted mean of the selected field (served_households or total_households), both computed locally against the supplied data with no external lookups. Up to 200 rows per call.

## 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-analytics-adjacent-row-changes-secondary-ac515556/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)