A: Hey there,

Thank you for the question.
Hot retention data provides faster access times and is used more frequently for creating journeys, insights and suggestions. Compare, Overview, Database, and other core analytics do not depend on hot retention. Tracks and Mission Control insights/suggestion will prioritize hot retention data, meaning that "smart" insights and recommendations you'll get will be mostly limited by the data from last 30 days. You can continue to analyze your key metrics and query your data, as long as the cold retention duration is not over for that logged event (data point). After cold retention duration, old data will be queued for deletion.

We currently have a full web support, meaning you can easily integrate Grain to your websites (and progressive web apps), without manual configuration. At the moment we don't have an official mobile app integration, but it's on our roadmap and more votes will help us release mobile SDKs faster. You can vote for mobile SDK and other feature requests at feedback.grainql.com

In terms of ingested data you're only bounded by:
A - Monthly active user limit (shared across your workspaces)
B - Retention durations

There are no such "credit" system for event logging, no matter if your website logs 10 events or 1000 a day. Credits are used for Kai, our AI assistant. A query consumes ("Where did I get my leads from this month?") 0.33 credits in Auto mode (we also have a "High" mode that uses more advanced models, and is billed 1 credit per query). So credit usage is directly linked to how many questions you ask to Kai.

Cheers!