Simply tracking model growth from 63 to 668 models on OpenRouter doesn't automatically mean this data directly informs or populates a useful dataset for practical application.
It's an interpretation, not a direct operational input; we need to see how this 'tracking' translates into actual usable data points, not just raw counts.
For instance, if half those new models are unstable or have no real-world application, that 'growth' is just noise that inflates the numbers without offering tangible benefit.
What specific filters are applied to make this tracking relevant for someone actually building something?
Otherwise, it's like counting every single CV received without separating the qualified from the unqualified for an actual job opening.