Token Metrics
Use Token Metrics 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('token-metrics/acme-token-metrics');
Use Token Metrics in apps and agents
Access cryptocurrency market data and AI-generated insights.
Why use Vercel Connect with Token Metrics?
Credentials on demand
Request Token Metrics credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Token Metrics access behind a reusable connector controlled by your team.
Centralized credential management
Manage Token Metrics 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 Token Metrics with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Token Metrics to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Token Metrics connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create token-metrics --name acme-token-metricsvercel env pullRequest Token Metrics credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('token-metrics/acme-token-metrics');
