# Wind Observations Daily Sum Series with Missing-Value Fill

> Wind Observations 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 series for wind observation records and fills missing values using a chosen method (zero, mean, or median) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-03-145?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/wind-observations-daily-sum-series-with-missing-value-fill-22fd29e0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YRCcprZXptdzyXRT8rsgr

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 wind-observations-daily-sum-series-with-missing-value-fill-22fd29e0 -d '<json body>'
```

Example prompt: I have 150 rows of daily wind station observations with some missing wind_speed_ms values — can you compute a daily sum series for wind_speed_ms and fill the missing values using median across station groups like 'group-a' and 'group-b'?

## When to prefer this

Choose this endpoint when you have tabular daily wind observation data (wind speed and/or gust speed) with potential missing values and need both a daily sum aggregation and a structured missing-value fill in a single call. Ideal for preprocessing wind datasets before downstream modeling, reporting, or visualization — especially when your data is under 200 rows and you want a lightweight, paid-per-call solution without setting up your own analytics pipeline.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, date, station_group, wind_speed_ms, gust_speed_ms) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Invalid method enum value (not zero/mean/median) causes error
- Invalid field enum value (not wind_speed_ms/gust_speed_ms) causes error
- Payment not included or insufficient USDC causes x402 payment-required response

## How this service works

Wind observations — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied wind observations records (wind_speed_ms, gust_speed_ms). 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 per call: a daily sum series aggregating the specified field (wind_speed_ms or gust_speed_ms) by date, and an explicit missing-value fill report applying the chosen method (zero, mean, or median) to null entries — covering up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "wind_speed_ms",
     "gust_speed_ms"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "gust_speed_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "wind_speed_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "gust_speed_ms": 1,
     "station_group": "group-a",
     "wind_speed_ms": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "gust_speed_ms": 2,
     "station_group": "group-b",
     "wind_speed_ms": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "gust_speed_ms": 3,
     "station_group": "group-a",
     "wind_speed_ms": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "gust_speed_ms": 4,
     "station_group": "group-b",
     "wind_speed_ms": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "wind_speed_ms",
    "gust_speed_ms"
   ],
   "type": "string",
   "default": "wind_speed_ms"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/wind-observations-daily-sum-series-with-missing-value-fill-22fd29e0/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)