Privacy-first session analytics on rrweb — friction detection, heatmaps and AI insights. The differentiator: a built-in MCP bridge that gives coding agents real user behavior and the exact element to fix.
Capture → detect → visualize → explain → fix.
rrweb-based capture — watch real sessions pixel-for-pixel, batched and compressed, with a fast player.
Rage- & dead-clicks, error loops, hesitation and form-abandonment surfaced automatically — no tagging, no setup.
Click, scroll and movement aggregated per route + viewport, rendered over the real reconstructed DOM.
The most common journeys discovered from real traffic, with per-step drop-off and click-through to the lost sessions.
On-demand summaries that say what the user wanted, where it broke and why — plus a frustration score per session.
Give Claude Code / Cursor real user behavior as tools — friction with the exact CSS selector, so the agent fixes the code.
Connect Behavise as an MCP server. Ask “why do users abandon checkout?” in Claude Code — it pulls the friction, the semantic trace and the failing element's CSS selector, then proposes the change. Scoped per tenant by token.
Every typed value and text node is masked from the first commit — more conservative than the incumbents. A declarative privacy attribute gives you four levels, and network/console bodies are filtered too.