Hey, thanks for reaching out! The best way to approach this is to break down what data points you need to complete your workflow and what providers would more than likely return many of them at once. For example, Enriching a person or company with LinkedIn could get you, summaries/descriptions, experience, locations, titles, and many more values for the cost of a single credit per run.
If it helps this helps, an alternative is to track or forecast the total usage in a spreadsheet like this one (feel free to make a copy of it); the thing that’s complicated to account for here (which I gave an example of), some data points come with all the other ones because they’re from the same integration. For example, if you want revenue and employee count, don’t list the credit costs for them separately, because they both come from the same integrations.The best way to handle this (most likely) is just to bundle together all the most important data points you get from particular integrations. Won’t be 100% accurate since the data point overlap isn’t 100%, but will be roughly accurate enough for a forecast to use!
