Abstract: Systems and Methods disclosed herein relate to providing a message to an application programming interface (API). The message includes a request for data from a data model, a submission of data to the data model, or both; and a host selection between: a representational state transfer (REST) host and a subscription-based application programming interface (API) host, wherein the REST host receives REST-based messages and the subscription-based API host receives messages in accordance with a standard of the subscription-based API host; wherein the request for data, the submission of data, or both are configured to create, delete, modify, or any combination thereof data related to a smart-device environment structure, a thermostat, a hazard detector, or any combination thereof stored in a data model accessible by the API.

Abstract: Multi-factor authentication via network-connected devices is described, and techniques provide for generating and utilizing behavioral authentication factors for multi-factor authentication of user identities. Behavioral authentication factors are learned by training models, using machine learning techniques, from user behaviors sensed by network-connected devices and monitored by a service. A system for multi-factor authentication via network-connected devices receives indications of user activity from network-connected devices and detects a pattern of activity that is compared to the behavioral authentication factor to determine a confidence level that the pattern of activities matches the behavioral authentication factor, and authenticates the user identity if the confidence level exceeds a threshold for authentication of the user identity.