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What is Outlit?

Outlit is infrastructure for customer context. It connects product usage, billing, support, and conversation data, then structures it into customer profiles your team and agents can query from the CLI, MCP, or API.

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Step 1: Install the CLI

curl -fsSL https://outlit.ai/install.sh | bash
Need another install method? See the CLI overview.

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Step 2: Authenticate

Create an API key from Settings > API Keys, then pass it to the CLI: 
outlit auth login --key ok_your_api_key

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Step 3: Connect Customer Data

Start by connecting the systems where customer context already lives. Open the integrations dashboard, then connect the source that best matches your first use case.

Revenue and billing

Stripe subscriptions, invoices, billing status, and MRR

Product usage

PostHog activity, sessions, and product engagement

Conversations and meetings

Gmail, Google Calendar, Granola, Fireflies.ai, and Slack

Support and identity

Pylon tickets, Clerk users, and Supabase Auth users

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Step 4: Ask an Agent

Once at least one source has synced, ask your coding agent something like: 
Use the Outlit CLI to review our connected customer data.

Which accounts need attention this week? Look for billing issues, open support problems, stalled conversations, or drops in product usage. Return the top accounts with evidence and recommended next steps.
To connect Outlit to Claude Code, Codex, Gemini CLI, or OpenClaw, see AI agent setup. For direct terminal usage, see the CLI command reference.

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Next Steps

Integrations

Connect customer data sources from the Outlit dashboard

OpenClaw + Outlit

Automated customer intelligence with cron jobs and heartbeat monitoring

How It Works

Understand how Outlit collects, resolves, and connects customer data

Customer Context Graph

Learn about the unified data model behind Outlit

CLI Commands

Full reference for querying customer data

Pi Agents

Build custom agents with Outlit customer intelligence tools