Decision API provides developers with a simple way to add structured AI decision-making to their applications and automated workflows. The platform connects different decision-oriented AI models behind a unified interface, allowing developers to send contextual information and receive machine-readable results without building a separate integration for every model.
The service is particularly useful for applications that need AI to make clearly defined decisions. Instead of asking a language model to produce an unrestricted response, developers can define the possible outcomes in advance and let the model determine which result best matches the supplied context. This approach can be applied to categories, numerical scores, binary checks, routing rules, and other repeatable evaluation tasks.
Developers can use Decision API for customer service automation, request classification, lead qualification, content review, evidence checking, AI agent selection, and application-level guardrails. For example, an incoming message can be classified according to its purpose, a document can be assigned a relevance score, or a request can be evaluated to determine whether it satisfies a predefined condition.
The platform includes a browser-based environment for designing and testing decision workflows. Users can provide sample inputs, create questions, select answer choices or scoring ranges, and run models against the same context. This provides a convenient way to experiment with different decision structures and understand how a model responds before integrating the workflow into an application.
Decision API's multi-model design also makes model experimentation easier. Developers can access supported decision models through a consistent interface and compare how different models handle the same task. This can be useful when optimizing an application for response quality, cost, or a particular type of decision.
Once a workflow has been tested, developers can access it programmatically through the API. Integration examples are available for common development environments including JavaScript, Python, and cURL, making it straightforward to connect AI decisions with backend applications, automation tools, databases, and agent workflows.
The platform follows a credit-based usage model, allowing developers to start experimenting without committing to a traditional subscription. New users receive introductory credits for testing the available features.
Overall, Decision API acts as a practical infrastructure layer between AI models and application logic, helping developers transform unstructured context into consistent, structured decisions that can be processed automatically by software.