Jentic publishes the only available OpenAPI specification for this Clarifai API variant, keeping it validated and agent-ready. Clarifai is a computer vision and NLP platform that runs pre-trained and custom AI models for image recognition, object detection, face detection, text classification, and embedding generation. This spec covers the v2 prediction surface — model inference, input management, semantic search, workflow execution, and concept management — scoped under a user_id and app_id pair so each request is namespaced to the right application. Authentication uses a Personal Access Token in the Authorization header.
14 endpointsJentic publishes the only available OpenAPI specification for this Clarifai API variant, keeping it validated and agent-ready. Clarifai is a computer vision and NLP platform offering pre-trained and custom models for image classification, object detection, text analysis, and embedding generation. This spec covers the v2 REST surface with the /v2 prefix on every path and camelCase path parameters (userId, appId, modelId), making it convenient for clients generated from this OpenAPI document. Authentication uses a Personal Access Token or API Key sent as 'Key {value}' in the Authorization header.
14 endpointsStep 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.