Prompt
weather data API
Latest observation
If you mean a weather data API, here are common options depending on what you need:
Popular weather APIs
- OpenWeatherMap — easy to use, good free tier
- WeatherAPI.com — simple endpoints, forecasts, historical data
- Tomorrow.io — strong forecasting and alerts
- Meteostat — great for historical weather data
- NOAA / National Weather Service — best for U.S. government data
- Visual Crossing — historical + forecast, developer-friendly
Typical data you can get
- Current conditions
- Hourly/daily forecast
- Historical weather
- Alerts/warnings
- Air quality
- Radar/maps
Example request
curl "https://api.openweathermap.org/data/2.5/weather?q=London&appid=YOUR_API_KEY"
What I can help with
I can provide:
- a recommended API
- Python / JavaScript example code
- free weather API options
- help building an API request
- help parsing weather data
If you want, I can also give you a working example in Python or JavaScript.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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