Web3 Career
Use Web3 Career 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('web3-career/acme-web3-career');
Use Web3 Career in apps and agents
Search Web3 Career job listings with filters for technology, role, location, and remote work.
Read the Web3 Career developer docs(opens in new tab)Why use Vercel Connect with Web3 Career?
Credentials on demand
Request Web3 Career credentials only when your application or agent needs them instead of copying secrets into application code.
Access for the right subject
Keep app-scoped Web3 Career access behind a reusable connector controlled by your team.
Centralized credential management
Manage Web3 Career 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 Web3 Career with your stack
Follow a complete setup for the Connect SDK or a supported agent framework.
Add Web3 Career to an existing Vercel application with the Connect SDK.
Install the Connect SDK
npm install @vercel/connectCreate the Web3 Career connector
Run these commands from the project that will use the connection.
vercel linkvercel connect create web3-career --name acme-web3-careervercel env pullRequest Web3 Career credentials
app/api/route.tsimport { getToken } from '@vercel/connect';const token = await getToken('web3-career/acme-web3-career');
