Install ValiqAI on your Vercel team and pick the projects to watch. Each preview deployment gets a ValiqAI check: it starts when the build is ready, scans the preview from the path you choose, and finishes as passed or failed with a link to the results. The results also go wherever your scans already go: Slack, your chat channel, your tracker and on-call tools.
The check never blocks a deployment, and a ValiqAI problem on our side concludes it as neutral, never failed. Production deployments are never scanned on their own. A newer preview of the same branch stops the older scan, and each project has a monthly limit so a busy week can’t use up your credits. Previews behind Vercel’s Deployment Protection can’t be scanned yet.
How it works
- Vercel builds a preview. ValiqAI adds its check as the deployment is created, and starts once the build is ready.
- ValiqAI scans it. An End-to-End scan of the preview, with credits held like any scan. Out of credits or over the limit, the check says skipped and Activity notes it.
- The check concludes. Failed when the scan found a blocker or a high problem, passed otherwise, with a link to the evidence. You can rerun it from Vercel.
Set up
In ValiqAI, open Integrations › Vercel in your workspace.
- Click Connect Vercel and install ValiqAI on your Vercel team, giving it the projects to scan.
- Turn on the projects whose previews should be scanned.
- Optionally set where each scan starts, like /signup, and its monthly limit.
Plan
Vercel is on the Pro plan (Pro, Teams and Enterprise). A connection made before a plan change keeps working.
With AI tools
With the ValiqAI MCP server added to your AI coding tool, you can ask:
- “Why did the ValiqAI check fail on my latest Vercel preview?”
- “List the blockers ValiqAI found on the preview of my pull request.”