# Water Service Coverage Daily Sum Series with Missing Value Fill

> Water Service Coverage Daily Sum Series with Missing Value Fill 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).

Computes daily sum time series and fills missing values for water service coverage data (served_households, total_households) across regions, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-19-145?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-daily-sum-series-with-missing-value-fill-a1890220
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_g-Qw0thUTShb1E17dKAeK

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-daily-sum-series-with-missing-value-fill-a1890220 -d '<json body>'
```

Example prompt: I have a dataset of daily water service records for two regions with some missing served_households values — can you compute the daily sum series and fill the missing values using median imputation? Here are up to 200 rows with row_id, region, date, served_households, and total_households.

## When to prefer this

Choose this endpoint when you need both a daily sum time series and explicit missing-value imputation on water service household data in a single call. It is purpose-built for water utility coverage records with the specific fields served_households and total_households, and returns two reports simultaneously for the cost of one call. Prefer it over generic analytics tools when working with regional, date-keyed household coverage data at up to 200 rows.

## Known failure modes

- Missing required fields (row_id, region, date) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Input array exceeding 200 rows is rejected
- Invalid enum value for method or field returns error
- Numeric values outside ±1,000,000,000,000 range cause validation failure
- Empty rows array (minItems:1 not satisfied) returns error

## How this service works

Water service coverage — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill 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 daily sum series aggregating the specified field (served_households or total_households) by date, and (2) an explicit missing-value fill report showing imputed values using the chosen method (zero, mean, or median), covering 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/water-service-coverage-daily-sum-series-with-missing-value-fill-a1890220/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)