IZeat
Use IZeat with AI apps and agents through Edgenivo Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
IZeat$ vercel connect create izeat --name acme-izeatUse its data in agents and apps
import { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('izeat/acme-izeat', {subject: { type: 'user', id: userId },});
Use IZeat in apps and agents
Log meals and track calories and macros in a food journal.
Read the IZeat developer docs(opens in new tab)Why use Edgenivo Connect with IZeat?
Credentials on demand
Request IZeat credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Request user-authorized IZeat access so actions follow the identity and permissions of the person using your application.
Centralized credential management
Manage IZeat credentials in one place and retrieve them through a consistent runtime API.
Edgenivo-native controls
Bind connections to the projects and environments that need them while Edgenivo OIDC authenticates each runtime request.
Use IZeat with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add IZeat to an existing Edgenivo application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the IZeat connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create izeat --name acme-izeatvercel env pullRequest IZeat credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const userId = 'user_123';const token = await getToken('izeat/acme-izeat', {subject: { type: 'user', id: userId },});