# ADH Global Weather Intelligence — gl-weather

> ADH Global Weather Intelligence — gl-weather is a paid API for AI agents from agentdatum.com, paid per call via x402, $0.01/call, status down (last checked 2026-10-13).

Returns real-time weather observations and short-range forecasts (1h, 6h, 12h) for a geolocated point, wrapped in ADH's entity-resolved, timestamped intelligence layer.

## Facts

- Endpoint: GET https://agentdatum.com/api/v1/d/gl-weather?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: down
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/adh-global-weather-intelligence-gl-weather-520452d8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_F9qWdR1p1D0TyLPqvuWoF

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 adh-global-weather-intelligence-gl-weather-520452d8
```

Example prompt: What are the current weather conditions right now — temperature, wind, humidity, and the next 12-hour forecast — from the ADH weather intelligence endpoint?

## When to prefer this

Choose this endpoint when you need structured, agent-ready weather data delivered through a pay-per-call x402 micro-payment flow without managing API keys for MET Norway directly. It is best when your agent pipeline needs weather enrichment injected into context with provenance metadata and a clean normalized JSON envelope. Prefer alternatives (e.g. OpenWeatherMap, Tomorrow.io) if you need user-configurable coordinates, multi-location batch queries, or longer forecast horizons.

## Known failure modes

- Missing or malformed required 'input' object returns a 400-level error
- Upstream MET Norway API unavailability causes fetch failure or stale data
- No location parameter surfaced in schema — endpoint may return a fixed or default coordinate
- Payment not settled via x402 protocol results in 402 Payment Required response
- Rate limiting or quota exhaustion from underlying data source

## How this service works

ADH 金融情报层：把 239 个原始数据源洗成带实体解析、时间同步、溯源与派生结论的情报（宏观regime / 加密尽调 / 事件窗口），免费注入你的 AI 上下文。Agent 走 x402 结算，人类订阅（PayPal）即将上线。

## Output

Returns a JSON object with a 'raw' block containing a GeoJSON Feature with a 'properties' block: a 'meta' section (units for each variable, last updated timestamp) and a 'timeseries' array of forecast steps. Each step includes instant atmospheric details (wind speed, air temperature, relative humidity, cloud fraction, wind direction, sea-level pressure) plus precipitation and symbol codes for next 1h, 6h, and 12h windows. Also includes top-level 'success' boolean, 'source', 'data_type', and 'collected_at' timestamp.

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "raw": {
   "data": {
    "type": "Feature",
    "geometry": {
     "type": "Point",
     "coordinates": [
      -51.6941,
      -51.6941
     ]
    },
    "properties": {
     "meta": {
      "units": {
       "wind_speed": "m/s",
       "air_temperature": "celsius",
       "relative_humidity": "%",
       "cloud_area_fraction": "%",
       "wind_from_direction": "degrees",
       "precipitation_amount": "mm",
       "air_pressure_at_sea_level": "hPa"
      },
      "updated_at": "2026-08-09T17:16:36Z"
     },
     "timeseries": [
      {
       "data": {
        "instant": {
         "details": {
          "wind_speed": 5.7,
          "air_temperature": 11.2,
          "relative_humidity": 73.8,
          "cloud_area_fraction": 10.9,
          "wind_from_direction": 325.9,
          "air_pressure_at_sea_level": 1019.2
         }
        },
        "next_1_hours": {
         "details": {
          "precipitation_amount": 0
         },
         "summary": {
          "symbol_code": "clearsky_day"
         }
        },
        "next_6_hours": {
         "details": {
          "precipitation_amount": 0
         },
         "summary": {
          "symbol_code": "partlycloudy_day"
         }
        },
        "next_12_hours": {
         "details": {},
         "summary": {
          "symbol_code": "partlycloudy_day"
         }
        }
       },
       "time": "2026-08-09T18:00:00Z"
      },
      {
       "data": {
        "instant": {
         "details": {
          "wind_speed": 5.7,
          "air_temperature": 11.2,
          "relative_humidity": 73.8,
          "cloud_area_fraction": 10.9,
          "wind_from_direction": 325.9,
          "air_pressure_at_sea_level": 1019.2
         }
        },
        "next_1_hours": {
         "details": {
          "precipitation_amount": 0
         },
         "summary": {
          "symbol_code": "clearsky_day"
         }
        },
        "next_6_hours": {
         "details": {
          "precipitation_amount": 0
         },
         "summary": {
          "symbol_code": "partlycloudy_day"
         }
        },
        "next_12_hours": {
         "details": {},
         "summary": {
          "symbol_code": "partlycloudy_day"
         }
        }
       },
       "time": "2026-08-09T18:00:00Z"
      }
     ]
    }
   },
   "success": true
  },
  "source": "generic_json",
  "data_type": "环境气象",
  "collected_at": "2026-08-09T18:16:30Z"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/adh-global-weather-intelligence-gl-weather-520452d8/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agentdatum.com](https://www.zero.xyz/host/agentdatum.com/llms.txt)