Decision API
weatherAI.io Decision API provides weather-based decision making with verdict, score, optimal time windows, and risk assessments.
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curl "https://apis.io/api/v1/apis/weatherai-io:decision-api"
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OpenAPI Specification
{
"openapi": "3.0.3",
"info": {
"title": "weatherAI.io Decision API",
"version": "1.0.0",
"description": "One call turns the weather into a decision: a verdict, a 0-100 score, the best time windows and the risks for an activity at a place and date. 1,000 free calls every month, then £0.0012 per successful call from prepaid credit (VAT included). Failed calls are not charged. AI agents can also use the MCP server at https://api.weatherai.io/mcp."
},
"servers": [
{
"url": "https://api.weatherai.io"
}
],
"components": {
"securitySchemes": {
"ApiKey": {
"type": "apiKey",
"in": "header",
"name": "X-API-Key"
}
},
"schemas": {
"Error": {
"type": "object",
"properties": {
"error": {
"type": "object",
"properties": {
"code": {
"type": "string"
},
"message": {
"type": "string"
}
}
}
}
},
"Window": {
"type": "object",
"properties": {
"start": {
"type": "string",
"example": "2026-10-18 07:00"
},
"end": {
"type": "string",
"example": "2026-10-18 10:00"
},
"score": {
"type": "integer",
"example": 91
}
}
},
"Risk": {
"type": "object",
"properties": {
"type": {
"type": "string",
"example": "rain"
},
"severity": {
"type": "string",
"enum": [
"low",
"moderate",
"high",
"severe",
"extreme"
]
},
"from": {
"type": "string"
},
"to": {
"type": "string"
},
"detail": {
"type": "string",
"example": "70% chance of rain"
}
}
},
"Decision": {
"type": "object",
"properties": {
"location": {
"type": "object",
"properties": {
"name": { "type": "string" },
"region": { "type": "string" },
"country": { "type": "string" },
"lat": { "type": "number" },
"lon": { "type": "number" },
"tz_id": { "type": "string" },
"localtime": { "type": "string" }
}
},
"activity": {
"type": "string",
"enum": [
"running",
"cycling",
"outdoor-event",
"beach",
"laundry-drying",
"stargazing",
"hiking",
"golf",
"tennis",
"dog-walking",
"gardening",
"fishing",
"sailing",
"drone-flying",
"exterior-painting",
"concrete-pour",
"roofing",
"crop-spraying",
"outdoor-work",
"driving",
"solar-pv"
]
},
"date": { "type": "string", "format": "date" },
"verdict": { "type": "string", "enum": ["great","good","fair","poor","avoid"] },
"score": { "type": "integer", "minimum": 0, "maximum": 100, "description": "Quality of the best opportunity on that date (best window)." },
"best_windows": { "type": "array", "items": { "$ref": "#/components/schemas/Window" } },
"risks": { "type": "array", "items": { "$ref": "#/components/schemas/Risk" } },
"summary": { "type": "string", "example": "Great conditions for a run in London; best 07:00–10:00. Watch for rain from 14:00." },
"data": { "type": "object", "additionalProperties": true, "description": "Key figures for the hours considered (temperatures, rain, wind, UV, sunrise/sunset; moon for stargazing). When available: air quality (air_quality, air_quality_us_epa_max, pm2_5_max, pm10_max), pollen levels (pollen_tree, pollen_grass, pollen_weed, pollen_max: none/low/moderate/high/very high), sunshine_pct_avg, sunshine_hours, solar_ghi_max_wm2, solar_dni_max_wm2, solar_gti_max_wm2, solar_energy_kwh_m2, solar_panel_energy_kwh_m2, wetbulb_max, snow_total_cm (snow_total_in), pressure_mb (pressure_in), pressure_trend and wind_dir." },
"hourly": { "type": "array", "items": { "type": "object", "properties": { "time": { "type": "string" }, "score": { "type": "integer" }, "main_issue": { "type": "string", "nullable": true } } }, "description": "Only with detail=hourly." },
"billing": { "type": "object", "properties": { "charged": { "type": "string", "enum": ["free","credit"] }, "cost_gbp": { "type": "string", "example": "0.0012" }, "free_remaining": { "type": "integer" }, "balance_gbp": { "type": "string" } } }
}
},
"DayRanking": {
"type": "object",
"properties": {
"date": { "type": "string", "format": "date" },
"weekday": { "type": "string" },
"verdict": { "type": "string", "enum": ["great","good","fair","poor","avoid"] },
"score": { "type": "integer" },
"best_window": { "$ref": "#/components/schemas/Window" },
"top_risks": { "type": "array", "items": { "$ref": "#/components/schemas/Risk" } },
"summary": { "type": "string" }
}
},
"BestDay": {
"type": "object",
"properties": {
"location": { "type": "object" },
"activity": { "type": "string" },
"days_checked": { "type": "integer" },
"summary": { "type": "string" },
"best": { "$ref": "#/components/schemas/DayRanking" },
"days": { "type": "array", "items": { "$ref": "#/components/schemas/DayRanking" } },
"billing": { "type": "object" }
}
},
"RuleLimits": {
"type": "object",
"properties": {
"max_calls_per_month": { "type": "integer" },
"max_calls_per_day": { "type": "integer" },
"max_calls_per_minute": { "type": "integer" }
}
},
"Widget": {
"type": "object",
"properties": {
"id": { "type": "string" }
}
}
}
},
"paths": {}
}