Skip to main content

Documentation Index

Fetch the complete documentation index at: https://onlook.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

OnlookAI is an open-source SDK and scoring engine that tracks attention signals, quantifies engagement, and triggers interventions — across every surface your users touch.

What is attention intelligence?

Traditional analytics tell you what users clicked. OnlookAI tells you whether users were actually paying attention — measuring focus depth, scroll behavior, dwell time, idle patterns, and face presence to produce a single interpretable score per session.

Core primitives

Track

Capture attention signals with a single SDK call. Works in browser, native, and embedded environments.

Score

Real-time 0–100 attention score per session. Configurable thresholds, no ML ops required.

Intervene

Trigger policy actions, nudges, or alerts when attention drops below threshold.

Audit

Immutable, cryptographically signed audit trails for compliance environments.

Open source

OnlookAI is Apache 2.0 licensed. Fork it, self-host it, extend it.
npm install @onlook/core
For compliance and enterprise features, see Attune Compliance.