NetIntel Weather Forecast API is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-14).
Returns a daily (and optionally hourly) weather forecast for a city or coordinates, up to 16 days ahead, via pay-per-call x402 micropayment.
Network intelligence API — 138 endpoints, all pay-per-call via x402 micropayments (USDC on Base or Solana mainnet). NetIntel is agent fair-trade aligned: transparent per-call pricing in USDC on Base or Solana via x402, no API keys or signup, and automatic no-charge on server errors, upstream failures, and input-validation rejections — failed calls are never billed across NetIntel's network, domain, and data-intelligence endpoints.
A JSON object with location metadata (name, region, country, lat/lon, timezone), the number of forecast days used, unit labels for temperature/wind/precipitation, and a 'daily' array of up to 16 objects each containing: date, temp_max, temp_min, feels_like_max, feels_like_min, precipitation, precip_probability_pct, uv_index_max, sunrise, sunset, wind_speed_max, wind_gusts_max, wind_direction_deg, weather_code, and condition string. When hourly=true, an additional 'hourly' array covers the next 24 hours with time, temperature, precipitation, precipitation probability, wind, and condition. A 'findings' array reports any clamping or parameter adjustments, and cache_age_seconds indicates data freshness.
GEThttps://netintel-production-440c.up.railway.app/weather/forecastChoose this endpoint when you need structured multi-day weather forecast data (up to 16 days) with rich daily detail including UV index, precipitation probability, wind, and sunrise/sunset — especially in an agent pipeline where no API key management is desired and pay-per-call USDC micropayment via x402 is acceptable. Prefer this over free open-meteo direct calls when you want the x402 billing model with guaranteed no-charge on failures. Not suitable for real-time current conditions (use a current-weather endpoint), historical weather, or climate data.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"days": 7,
"daily": [
{
"date": "2026-08-31",
"sunset": "2026-08-31T19:44",
"sunrise": "2026-08-31T06:12",
"temp_max": 18.4,
"temp_min": 11.2,
"condition": "Rain",
"uv_index_max": 4.1,
"weather_code": 61,
"precipitation": 1.3,
"feels_like_max": 17.9,
"feels_like_min": 10.4,
"wind_gusts_max": 38.5,
"wind_speed_max": 21,
"wind_direction_deg": 230,
"precip_probability_pct": 60
},
{
"date": "2026-09-01",
"sunset": "2026-09-01T19:42",
"sunrise": "2026-09-01T06:14",
"temp_max": 19.1,
"temp_min": 12,
"condition": "Partly cloudy",
"uv_index_max": 5.2,
"weather_code": 2,
"precipitation": 0,
"feels_like_max": 18.6,
"feels_like_min": 11.3,
"wind_gusts_max": 29.2,
"wind_speed_max": 15.8,
"wind_direction_deg": 245,
"precip_probability_pct": 10
}
],
"units": {
"wind_speed": "km/h",
"temperature": "°C",
"precipitation": "mm"
},
"source": "open-meteo",
"findings": [],
"location": {
"name": "London",
"region": "England",
"country": "United Kingdom",
"latitude": 51.51,
"timezone": "Europe/London",
"longitude": -0.13
},
"cache_age_seconds": 0
}
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