Geolocation confidence scores?

Hey everyone, following up on the recent discussion about inconsistent IP geolocation results across various APIs. It's a real headache trying to figure out which result to trust when you're getting different locations for the same IP.

My current challenge is that while most APIs readily provide coordinates, they very rarely offer a crucial 'confidence score' or 'accuracy radius'. This glaring lack of a metric for geolocation precision makes it incredibly hard to weigh conflicting results or confidently trust a single data point. For instance, a typical API response looks something like this, but without any indication of how accurate those coordinates are:

{
  "ip": "192.168.1.1",
  "country": "United States",
  "city": "New York",
  "latitude": 40.7128,
  "longitude": -74.0060,
  "isp": "Example ISP"
}

So, I'm curious: How do others in the community approach this? Are there specific IP geolocation APIs known for providing reliable confidence scores, or robust methods you've developed to derive a practical confidence metric from standard API outputs when facing these discrepancies? Eager for insights from experienced users.