>> Temporal data. >> Yeah. I mean, um, I've seen customers, you know, basically every time because because the way Leiden works is it's it really is this algorithm that where it will suck everything into a projection. it will create its labels and it'll it'll die down and then it will go away. So if your data is being updated constantly um you can recreate your ids um and you can have almost like a time series of of different theme ids for example um and then you can if you want create summaries sort of at the snapshot of when they existed or you can see how they evolved over time um but it's a very common use case a lot of people will actually use this even before AI they'll use this for things like um fraud detection so like looking at um like credit chargeback fraud or like some of these other like um anti-moneylaundering type of stuff to look at clusters and for that they'll have to do it temporally like they have to keep running it um to kind of see how things change over time and then predict the future. Right. So they're used in those scenarios too. Yep.