How features use credits

understand the credit cost of your activities in make with an overview of how different features in make, including apps, modules, and in app features, consume credits the next sections explain credit usage by features and operations in modules credits by feature this section breaks down make's credit usage logic for features, depending on whether you use docid\ hh nrtakeqakbmg63uuin , a custom ai provider connection, such as via an api key, or an ai provider that make selects for you make's ai provider is available on all plans , and custom ai provider connections are available on paid plans feature make's ai provider (all plans) custom ai provider connection (paid plans) make selects the ai provider (all plans) https //apps make com/ai tools dynamic 1 credit per operation + credits based on token usage fixed 1 credit per operation https //help make com/make ai agents app dynamic 1 credit per operation/chat + credits based on token usage, including ai tokens ( run an agent and create agent context modules) embedding tokens ( create agent context modules) fixed 1 credit per operation (+ embedding tokens when using create agent context modules) https //apps make com/make ai extractors fixed (1 credit per operation) or dynamic (credits based on token, file, or page based usage), https //apps make com/make ai extractors#j7fs5 https //apps make com/make ai web search dynamic 1 credit per operation + credits based on token usage the docid\ mkn0za9llnqphyf1mxmz8 app uses 2 credits per second of execution time all other features consume credits based on a fixed rate of 1 credit per operation the next section details the relationship between credits and operations for each module type credits by module type most non ai apps at make consume credits on a docid\ hh nrtakeqakbmg63uuin basis based on operations in modules there are several docid\ bkdeyubelio6yvvcosrxj at make, each using credits differently based on their place in the scenario and how they process data trigger modules use 1 credit per run, regardless of whether they return data even when a trigger finds no new data, it still uses 1 credit for checking for example, in the google sheets > watch new rows module below, the scenario run retrieved no new data, but used 1 credit for the operation search modules use 1 credit per run, even when they return multiple bundles for example, the google sheets > search row module below runs once to search rows according to the specified criteria it only uses 1 credit for this operation despite returning 10 rows, or bundles action modules (those with "add," "update," "delete," etc) use as many credits as runs needed to process all bundles it uses 1 credit per input bundle processed for example, the google sheets > search row module below returned 10 rows and used 1 credit the following delete rows module must run 10 times to delete each of the 10 rows, using 10 credits the scenario uses 11 credits total aggregator modules combine multiple bundles into a single bundle, called an array aggregators use 1 credit for each aggregation for example, the array aggregator below combined 10 contacts, or bundles, from the google sheets > watch new rows module into an array this aggregation used 1 credit iterator modules split an array into multiple bundles iterators use 1 credit to split an array into bundles, and the next modules use 1 credit for each iterated bundle for example, the iterator below received an email with an array of 5 attachments and split the array into 5 separate attachments it used 1 credit to split the attachment array, and the google drive > upload a file module used 5 credits to upload each attachment these module types do not use credits docid 3sxxd1q5e os35cbkdlwk modules rollback , break , resume , commit , ignore docid\ opqxxzcge19tawxhiaehn modules and docid\ toeivu0dbv44bmrjcmlic docid\ f8fhrvoqwck48nx fjryf modules call a subscenario , start a scenario , return output , and customize run name you can learn more about bundles and their relationship to operations in docid\ zr2rwmilmj 19r85mlawm