SAS Institute
SAS Institute is a global leader in analytics, AI, and data management software. SAS Viya, its cloud-native platform, exposes a comprehensive catalog of REST APIs covering data management, machine learning, decisions, reports, identities, and platform administration. The Viya REST API surface enables embedding analytics, automating model lifecycles, and integrating governed AI into business workflows.
APIs
SAS Viya REST API
The SAS Viya REST API spans 50+ endpoint groups covering Cloud Analytic Services (CAS), Compute, Data Management (Data Sources, Data Tables, Data Quality), Model Management, Dec...
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SAS Viya REST API
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FinOps
Sas Finops
FINOPSFeatures
REST access to in-memory CAS server for high-performance analytics on large datasets
Register, monitor, compare, and govern machine learning model lifecycles
Author, version, and execute decision flows and business rule sets
Create, read, update, and export SAS Visual Analytics reports
Manage data sources, tables, lineage, and quality rules with governance
Standard OAuth flows through the SAS Logon Manager for secure API access
Screen parties and payments against illegal-activity watchlists in real time
Deploy and monitor streaming analytics through Event Stream Manager and Studio
Use Cases
Operationalize SAS Fraud and Compliance rules to score transactions in real time
Embed SAS Viya reports and insights into custom portals and applications
Automate the model lifecycle from training to publish to monitoring via REST
Score risk decisions and govern compliance through decisioning APIs
Drive marketing journeys with SAS Customer Intelligence 360 event collection
Manage clinical jobs and clinical repository content via SAS Clinical APIs
Integrations
Open-source clients call SAS Viya REST APIs from Python and R workflows
Deploy SAS Viya on major cloud providers and integrate with native services
Java SDK and REST clients for embedding SAS analytics in enterprise apps
SAS Viya SDK for JavaScript embeds dashboards and content in web apps
Connect SAS Event Stream Processing to Kafka, MQTT, and IoT pipelines