Artificial Analysis
Use Artificial Analysis with AI apps and agents through Vercel Connect. Follow a complete setup guide for secure runtime access.
Install the skill
$ npx skills add vercel/vercel-plugin --skill vercel-connectConnect to
Use its data in agents(opens in new tab) and apps(opens in new tab)
import { getToken } from '@vercel/connect';const token = await getToken('artificial-analysis/acme-artificial-analysis');
Use Artificial Analysis in apps and agents
Compare AI models and providers by quality, price, and performance.
Read the Artificial Analysis developer docs(opens in new tab)Why use Vercel Connect with Artificial Analysis?
Credentials on demand
Request Artificial Analysis credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Artificial Analysis access behind a reusable connector controlled by your team.
Centralized credential management
Manage Artificial Analysis credentials in one place and retrieve them through a consistent runtime API.
Vercel-native controls
Bind connections to the projects and environments that need them while Vercel OIDC authenticates each runtime request.
Use Artificial Analysis with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Artificial Analysis to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Artificial Analysis connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create artificial-analysis --name acme-artificial-analysisvercel env pullRequest Artificial Analysis credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('artificial-analysis/acme-artificial-analysis');
