How to integrate intents to agents and analytics
Guides for agents, analytics export, and instrumentation — pick a topic below.
Agent layer
Feed behavioral intent into your AI agent — SDK callback, inference pull API, agent prompts, and webhooks.
Analytics
Export Overview dashboard metrics for BI, warehouses, and scheduled sync jobs.
Instrumentation
URL patterns, in-app views, opaque logged-in identity, and trusted server-side events.
- Server-side eventsStripe, Auth0, and Supabase webhook templates for login success, purchases, and other tokens that must not come from the browser.
- Logged-in user identityOpaque user_id for CRM stitch and pull APIs — setUserIdentity, email-only HMAC recipe, and what works with visitor/session only.
- Setup troubleshooting FAQEmpty Insights, consent accepted but no tokens, dead inference host, CORS, SPA views, and rediscovery after launch.
Pricing
Compare intentLM to in-house and third-party alternatives.
Compare costModel intentLM pricing against in-house LLM intent pipelines and third-party analytics.