Agentic analytics

Give your AI agents real user behavior.

Most agents work from code, docs, and guesses. KrystalView gives them visitor evidence: sessions, funnels, campaigns, errors, anomalies, rage clicks, and friction scores through MCP.

Connect MCPCreate a site
KrystalView crystal visual

What agents can answer

What happened?

Find sessions that match a page, campaign, device, rage-click pattern, or funnel step.

Why did it fail?

Connect drop-off to replay, heatmap, error, and friction evidence.

What should we change?

Give coding agents behavioral context while they edit the page or triage a bug.

Example prompts

I am editing /pricing. What did frustrated visitors do here?
Which Google Ads sessions reached the form but failed to submit?
Show me mobile sessions with rage clicks on the CTA.
Which funnel step has the strongest evidence of confusion?