What Was the Most Unexpected Limitation of Your Weather API?
Every API looks complete until a project starts growing. Maybe it was stricter rate limits, missing forecast details, inconsistent alert coverage, or documentation that didn't match reality. What limitation caught you completely off guard? If you were evaluating providers today, what specific questions would you ask before committing?
Inconsistent data formatting across different geographical regions caught our team completely off guard last year. One location would return clean JSON, while another would drop key index values without notice, breaking our frontend renders. My top tip is to stress-test raw API responses against edge cases early in development. We were comparing various environmental feeds and tested https://billing.meteoprog.com/air-quality-api to verify how clean their structured responses were. If I were picking a provider today, I would specifically ask how they handle alert latency during sudden weather spikes.