Outlit 🔦

Outlit is customer intelligence for agents: a single CLI that joins product activity, web signals, billing, and conversations into a unified customer context graph + timeline.

Choose this skill when you need cross-tool answers like:

"What changed for this customer this week?"
"Who's paying but inactive for 30 days?"
"What objections show up in conversations?"
"Which channels drive revenue?"

Quick start (CLI)

npm install -g @outlit/cli   # or: brew install outlitai/tap/outlit
outlit auth login            # or: outlit auth login --key ok_your_api_key_here
outlit customers get acme.com --include users,revenue

Auth lookup order (highest → lowest): --api-key, OUTLIT_API_KEY, stored config.

Output contract

Interactive TTY → readable tables
Piped stdout / CI → automatic JSON (no flags needed; force with --json)
Every result includes timestamps + source attribution for traceability

Proactive churn insights

Outlit also surfaces proactive churn-risk insights by correlating signals across tools (e.g., auth failures + support email + subsequent silence), with recommended actions.

Signal extraction

Facts — AI-extracted structured signals, not raw events. Returns business-level insights like "champion left", "budget approved", or "usage dropped 40%". Time-windowed so you can ask "what changed this quarter?"

Search — Semantic natural-language search across all customer interactions and conversations. "pricing objections" matches discussions about cost concerns, budget pushback, etc. — not just keyword hits. Scope to one customer or search org-wide.

Core commands

# List customers (filters)
outlit customers list --billing-status PAYING --no-activity-in 30d

# Get a profile (limit included sections)
outlit customers get acme.com --include users,revenue,recentTimeline --timeframe 30d

# Timeline (scoped)
outlit customers timeline acme.com --timeframe 90d --channels EMAIL,SLACK --limit 50

# Natural language search (org-wide or scoped)
outlit search "pricing objections"
outlit search "budget concerns" --customer acme.com --after 2025-01-01 --before 2025-03-31

# Facts / signals
outlit facts acme.com --timeframe 30d

# Users (filter by journey stage, activity, customer)
outlit users list --journey-stage CHAMPION
outlit users list --no-activity-in 30d --journey-stage AT_RISK

# SQL analytics (read-only)
outlit schema
outlit sql "SELECT event_type, COUNT(*) FROM events GROUP BY 1"

MCP (for agents that support MCP)

Endpoint: https://mcp.outlit.ai/mcp

Auth header: Authorization: Bearer YOUR_API_KEY

Outlit MCP tools include: list customers/users, get customer/timeline/facts, search customer context, run SQL, inspect schema.

Configure AI agents fast

outlit setup --yes

This auto-detects supported agents and configures MCP where applicable. It can also set up OpenClaw specifically:

outlit setup openclaw
outlit doctor            # diagnose setup issues (missing key, unconfigured agents)

Links (go deeper)

Docs home: https://docs.outlit.ai/
Quick Start: https://docs.outlit.ai/tracking/quickstart
CLI Overview: https://docs.outlit.ai/cli/overview
CLI Command Reference: https://docs.outlit.ai/cli/commands
AI Agent Setup: https://docs.outlit.ai/cli/ai-agents
MCP Integration: https://docs.outlit.ai/ai-integrations/mcp
Customer Context Graph: https://docs.outlit.ai/concepts/customer-context-graph