DeepAI vs JPL Close Approach
Same instrument, two spec sheets — measured, not claimed.
DeepAI vs JPL Close Approach: common questions
Which is more reliable, DeepAI or JPL Close Approach?
On our scheduled checks, DeepAI leads on measured uptime — DeepAI at 99.02% versus JPL Close Approach at 98.0% over 90 days. These are our own probe results, not provider claims; the uptime bars above show the day-by-day record for both.
Which is faster, DeepAI or JPL Close Approach?
JPL Close Approach has the lower median latency in our checks — DeepAI responds in 810 ms versus JPL Close Approach at 676 ms (P50). Tail latency (P95) is in the table above; for most workloads the median is the number that shapes how the API feels.
Do DeepAI and JPL Close Approach need an API key?
JPL Close Approach needs no key, while DeepAI requires a free API key. If you want to start calling without signup, reach for JPL Close Approach first.
Can I call DeepAI and JPL Close Approach from the browser?
Neither sends browser-friendly CORS headers reliably, so call DeepAI and JPL Close Approach from a server or proxy rather than client-side. The CORS and HTTPS rows above show exactly what we detected for each.
Are DeepAI and JPL Close Approach free for commercial use?
DeepAI has unclear commercial terms, and JPL Close Approach has unclear commercial terms. We track service terms and the data license as separate fields — see the Commercial use and Data license rows above, and confirm both before shipping either in a paid product.