# Outlit Outlit is an AI customer success agent for retention and growth. It monitors every account and helps teams act on adoption, contraction and renewal risk, and expansion signals. ## Use Outlit When - A customer success or GTM team needs proactive signals across every account instead of waiting for a dashboard review or customer escalation. - A team needs resolved, evidence-backed customer context before acting on onboarding, retention, renewal, or expansion work. - A developer needs the Outlit customer context API, CLI, MCP server, or skills to supply customer context to their own agents. ## What Outlit Does For customer success teams, Outlit monitors customer changes and prepares account work around adoption, onboarding, retention, renewals, and expansion. Teams stay in control of customer relationships and approved actions. For GTM teams, the same account context can support handoffs, account planning, risk review, expansion research, and preparation before customer conversations. For developers and teams building their own agents, Outlit provides a customer context API plus CLI, MCP, and skill access. These interfaces expose resolved customer profiles, timelines, facts, source evidence, search, and analytics without requiring each agent to reconcile every source independently. Customer context infrastructure is the mechanism behind both use cases. It joins records that belong to the same customer and keeps supporting evidence attached to machine-readable facts and recommendations. ## Customer Success and GTM Jobs - Catch stalled onboarding and falling adoption before they become renewal problems. - Surface contraction and renewal risk from product activity, support, billing, CRM, and customer conversations. - Find expansion demand and account growth signals. - Prepare account briefs, follow-ups, escalations, internal tasks, and approved CRM updates. - Give teams coverage across accounts that do not receive regular manual review. ## Customer Context API The canonical API contract is https://docs.outlit.ai/openapi.json. Its server declaration and paths are the source of truth for public API calls. - [Customer context tool gateway](https://docs.outlit.ai/api-reference/tools): Call public customer intelligence capabilities from an application or agent. - [API overview](https://docs.outlit.ai/api-reference/introduction): Authentication, concepts, and usage. - [OpenAPI](https://docs.outlit.ai/openapi.json): Current operations, inputs, outputs, and error contracts. - [Auth guide](https://www.outlit.ai/auth.md): API-key, CLI, and MCP authentication boundaries. Marketing does not maintain a second copied API, tool, or error catalog in this file. ## CLI The Outlit CLI gives people and coding agents terminal access to customer context. Current installation, authentication, commands, flags, and examples are maintained in the canonical CLI documentation and released package. - [CLI overview](https://docs.outlit.ai/cli/overview) - [CLI commands](https://docs.outlit.ai/cli/commands) - [AI agent setup](https://docs.outlit.ai/cli/ai-agents) - [SDK and CLI source](https://github.com/OutlitAI/outlit-sdk) Marketing does not copy the released CLI command tree or package versions into this file. ## MCP - Shared discovery endpoint: https://mcp.outlit.ai/mcp - Recommended workspace endpoint: https://mcp.outlit.ai/w//mcp - Setup: copy the workspace-specific URL from Outlit settings and complete OAuth in the MCP client. - [MCP documentation](https://docs.outlit.ai/ai-integrations/mcp) - [MCP server card](https://mcp.outlit.ai/.well-known/mcp/server-card.json) - [Official MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers?search=ai.outlit/outlit) - [MCP discovery repository](https://github.com/OutlitAI/outlit-mcp): Public metadata pointer; it does not contain the hosted MCP server implementation. The canonical MCP server card, public contracts, and documentation own the current transport, authentication, and tool catalog. Marketing does not copy the tool list into this file. ## SDK and Skills - [SDK quick start](https://docs.outlit.ai/tracking/quickstart) - [Browser SDK](https://docs.outlit.ai/tracking/browser/npm) - [Node SDK](https://docs.outlit.ai/tracking/server/nodejs) - [SDK repository](https://github.com/OutlitAI/outlit-sdk) - [Agent skills documentation](https://docs.outlit.ai/ai-integrations/skills) - [First-party Outlit skill](https://www.outlit.ai/.well-known/skills/outlit/SKILL.md) - [First-party Outlit SDK skill](https://www.outlit.ai/.well-known/skills/outlit-sdk/SKILL.md) - [First-party skill index](https://www.outlit.ai/.well-known/skills/index.json) - [agentskills.io index](https://www.outlit.ai/.well-known/agent-skills/index.json) - [Outlit skill on skills.sh](https://www.skills.sh/outlitai/outlit-agent-skills/outlit) - [Outlit SDK skill on skills.sh](https://www.skills.sh/outlitai/outlit-agent-skills/outlit-sdk) Package registries, released packages, and canonical SDK documentation own current version and installation facts. Marketing does not copy a release-version table into this file. ## Customer Context Reading - [What Is Customer Context Infrastructure?](https://www.outlit.ai/blog/what-is-customer-context-infrastructure): Why agents need resolved customer state before acting. - [Customer Identity Resolution](https://www.outlit.ai/blog/identity-resolution-as-infrastructure): How records and evidence resolve to one customer. - [Your Agent Has Tools. It Still Doesn't Know the Customer.](https://www.outlit.ai/blog/tool-access-is-not-customer-context): Why source access alone is not customer context. - [Customer Context Infrastructure vs CDP](https://www.outlit.ai/blog/customer-context-infrastructure-vs-cdp): Agent-ready context compared with portable customer data. - [Automate Customer Success with Claude Code](https://www.outlit.ai/blog/how-to-automate-customer-success-with-claude-code): Customer success workflows using Outlit context. - [Run Renewals with an AI Agent](https://www.outlit.ai/blog/how-to-run-your-renewal-process-with-outlit): Renewal risk, briefs, and expansion signals. - [Automate Onboarding with an AI Agent](https://www.outlit.ai/blog/how-to-automate-onboarding-with-outlit): Activation and onboarding workflows. - [Track Customer Health Scores](https://www.outlit.ai/blog/tracking-customer-health-scores-with-outlit): Customer health built from queryable signals. ## Pricing and Trust - [Pricing](https://www.outlit.ai/pricing): Visible plans and packaging. - [Machine-readable pricing](https://www.outlit.ai/pricing.md): Pricing generated from the same model as the visible page. - [About](https://www.outlit.ai/about): Company and product principles. - [Security](https://www.outlit.ai/.well-known/security.txt): Vulnerability disclosure contact. - [Privacy](https://www.outlit.ai/privacy) - [Terms](https://www.outlit.ai/terms) - [Subprocessors](https://www.outlit.ai/subprocessors) Outlit is SOC 2 Type II and ISO 27001 certified. Data is encrypted at rest and in transit and is not used to train models. ## Discovery - [llms.txt](https://www.outlit.ai/llms.txt) - [Markdown homepage](https://www.outlit.ai/index.md) - [API catalog](https://www.outlit.ai/.well-known/api-catalog) - [AI catalog](https://www.outlit.ai/.well-known/ai-catalog.json) - [Agent metadata](https://www.outlit.ai/.well-known/agent.json) - [Agent card](https://www.outlit.ai/.well-known/agent-card.json) - [Schemamap](https://www.outlit.ai/.well-known/schemamap.json) - [Contact](https://cal.com/josh-earle/30-min)