Plans

maskit offers several plans to fit your needs the main differences between the plans are the number of included monthly credits, access to advanced features (like api access or team management), processing priority, and the level of support the detailed comparison of all plans you can check in the section account/subscription & billing/change plan plans features price / monthly the fixed price you pay every monthly billing cycle for your subscription credits / month this is the number of operations you can perform each month as part of your plan web ui access the access to our user friendly web application you can easily upload, anonymize, and download your files directly in your browser without any coding api access for developers and businesses looking to automate their workflows api access allows you to integrate maskit's anonymization capabilities directly into your own applications, websites, or internal systems priority processing your requests are given priority in our processing queue during peak times, jobs with higher priority are processed before standard requests, ensuring faster results custom blur settings this allows you to control how the anonymization looks you can define the masking method, the shape of the mask, and the intensity of the effect support level the level of customer support you receive this can range from standard email support to dedicated priority support channels for business customers sla / uptime a service level agreement (sla) is our formal guarantee of service uptime and availability this feature, typically for business and enterprise plans, ensures a defined level of reliability on premise / vpc option exclusively for our enterprise customers this option allows for the installation and operation of the maskit service directly within your own private infrastructure (on premise servers or virtual private cloud) custom features exclusively for our enterprise customers we offer the ability to develop custom tailored features or detection models to solve your organization's unique anonymization challenges