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Otto AI Weather Forecast
x402
Otto AI Weather Forecast is a paid API for AI agents from x402.ottoai.services, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Returns current conditions and daily forecast for any city or lat/lon coordinate via a pay-per-call x402 endpoint
Price / call$0.002
Success—
StatusUnknown
How this service works
Live weather for any city or lat/lon worldwide. Returns current conditions — temperature, feels-like, humidity, wind and sky — plus a 5-day forecast with daily highs/lows and precipitation probability. City names auto-geocode (no coordinates needed). Refreshed hourly with transparent freshness metadata. Keyless, pay-per-call, agent-ready JSON.
Output
Returns a JSON object with current conditions (temperature in Celsius, feels-like, wind speed in kph, humidity percentage, conditions string, observation timestamp) and a daily forecast array with high/low temps, conditions, and precipitation probability percentage for upcoming days, plus resolved location name, country, lat/lon, and freshness metadata.
Example use cases
Example prompt
“What's the current weather and 5-day forecast for London — give me temperature, wind, humidity, and chance of rain each day?”
Technical details
Endpoint
GEThttps://x402.ottoai.services/weatherWhen to prefer
Choose this endpoint when you need real-time or near-real-time weather data (current conditions + short-range daily forecast) for any global city or coordinate, especially when operating in an x402 micropayment context on Base, Polygon, or Solana. At $0.001 per call it is extremely cost-effective for one-off lookups. Prefer over scraping or free-tier APIs when you need structured JSON output with freshness metadata and reliability guarantees.
Side effects
- Unknown or misspelled city name returns an error or empty data
- Invalid lat/lon format causes a 400 bad request
- Payment not included or insufficient USDC causes a 402 Payment Required response
- Network timeout or upstream weather provider outage returns degraded or stale data
- Location string ambiguity may resolve to wrong city
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"lat": 51.50853,
"lon": -0.12574,
"daily": [
{
"date": "2026-06-24",
"maxC": 21.4,
"minC": 12.1,
"conditions": "Partly cloudy",
"precipProbPct": 10
},
{
"date": "2026-06-25",
"maxC": 23,
"minC": 13.5,
"conditions": "Clear sky",
"precipProbPct": 5
}
],
"country": "United Kingdom",
"current": {
"tempC": 18.2,
"windKph": 14,
"conditions": "Partly cloudy",
"feelsLikeC": 17.6,
"observedAt": "2026-06-24T15:00",
"humidityPct": 63
},
"location": "london",
"generatedAt": "2026-06-24T15:05:00.000Z",
"resolvedName": "London"
},
"meta": {
"degraded": false,
"validUntil": "",
"generatedAt": "",
"stalenessSec": 0
},
"status": "success"
}
}Tags
x402
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