ADH Global Weather Intelligence — gl-weather

x402

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.

Price / call$0.01

Seller volume →—

Success—

StatusDown

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.

Example use cases

Real-time field conditions for logistics

“Pull the current wind speed, temperature, and 6-hour precipitation forecast so I can decide whether to dispatch the delivery drones today.”

Ambient weather context for AI agent

“Inject today's live weather snapshot — temperature, cloud cover, humidity, and pressure — into my agent's context window so it can factor environmental conditions into its recommendations.”

Hourly forecast check for outdoor event

“What does the next 1-hour and 6-hour weather outlook look like right now? I need to know if it'll be clear or partly cloudy and whether any rain is expected.”

Technical details

Endpoint

GEThttps://agentdatum.com/api/v1/d/gl-weather?utm_source=zero.xyz

When to prefer

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.

Side effects

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

Output

Schema · Response

{
  "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"
  }
}

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