Outlit - Customer Context Layer for AI Agents

TL;DR

TL;DR: Outlit is YC-backed customer context infrastructure that unifies data from your entire SaaS stack — Stripe, HubSpot, Intercom, Salesforce, and more — into a single resolved customer profile that AI agents can query via API, CLI, or MCP.

Source and Accuracy Notes

This section is MANDATORY. All links must be verified from actual source, not guessed.

• Project page: outlit.ai — verified via direct fetch
• Source SDK: github.com/OutlitAI/outlit-sdk
• Pricing: outlit.ai/pricing — Team $500/mo, Enterprise custom
• Legal entity: Outlit Labs Inc., 2261 Market Street STE 22153, San Francisco, CA 94114
• Security certifications: SOC 2 Type II and ISO 27001 (verified via pricing page)
• HN launch thread: news.ycombinator.com/item?id=41110034
• Source last checked: 2026-06-30

What Is Outlit?

Outlit is customer context infrastructure for AI agents. Rather than building yet another CRM or customer data platform, Outlit positions itself as the layer underneath your existing tools — sitting between your data sources and the agents that need to act on them.

The product’s own description: “Outlit is the real-time understanding of every customer, the context your agents need to take action.”

A unified customer profile aggregates signals from across your stack:

• Billing — Stripe, payments, subscription status
• Product — usage events, feature adoption (PostHog, custom)
• Support — helpdesk threads, open tickets
• Communication — email, Slack threads, Intercom conversations
• CRM — HubSpot, Salesforce contacts and deals

Outlit matches these signals to the same customer automatically using identity resolution across emails, domains, and user IDs.

Core Features

Unified Customer Profile

Every Stripe charge, Slack thread, and PostHog session resolves to one customer record automatically. No manual stitching together of data from different systems.

Agent Access via API, CLI, and MCP

Outlit is built for agentic workflows from the ground up. Agents can query customer context through:

• REST API — fetch a customer profile, get churn risk signals, pull renewal context
• CLI — outlit customer get [customer-id] for terminal-based workflows
• MCP — Model Context Protocol integration for direct LLM agent use

# Query a customer profile via CLI
outlit customer get cust_abc123

# Check churn signals for a customer
outlit signals churn-risk cust_abc123

Proactive Agents for Customer Operations

Instead of requiring agents to poll for information, Outlit supports proactive agent behaviors:

• Drafting renewal emails weeks before the renewal date
• Flagging churn risk when product usage drops below threshold
• Generating CS handoff notes when a support ticket escalates

Pricing

Outlit offers two tiers (verified from outlit.ai/pricing):

| Tier | Price | Includes | |------|-------|---------| | Team | $500/month | Unified customer profile, API/CLI/MCP access, audit logs, Email + Slack support | | Enterprise | Custom | Everything in Team + SOC 2 Type II evidence, SSO/SAML, custom proactive agents and workflows, dedicated engineer |

Security

Outlit is SOC 2 Type II and ISO 27001 certified. Data is encrypted at rest and in transit, and is never used to train models (verified from FAQ on outlit.ai).

Enterprise tier includes SSO/SAML support and audit log export for compliance-heavy environments.

Setup

Outlit is not self-hosted — it is a managed SaaS product. The setup flow (verified from outlit.ai):

1. Book a demo call with the team
2. Connect your data sources (Stripe, HubSpot, Salesforce, etc.)
3. Outlit starts syncing and resolving customer data immediately
4. Query via API, CLI, or MCP

No ETL pipelines to build. No glue code. Outlit handles sync, identity resolution, and data normalization out of the box.

How It Compares

Outlit is not a CRM replacement. Their own FAQ clarifies: “Outlit is infrastructure, not an app. It doesn’t replace your CRM, it connects everything underneath it and makes that data queryable for your agents and workflows.”

This positions it differently from:

• Traditional CRMs (HubSpot, Salesforce) — these are apps teams use directly; Outlit feeds agents
• Customer data platforms (Segment, mParticle) — these focus on data collection; Outlit focuses on identity resolution and agent-ready context
• Pure API providers — Outlit layers identity resolution on top of raw API calls

The MCP integration is the key differentiator — most competitors do not expose a native MCP interface for direct LLM agent consumption.

FAQ

Q: Is Outlit a CRM? A: No. Outlit is infrastructure that sits underneath your CRM. It does not replace HubSpot or Salesforce — it connects everything underneath and makes that data queryable for agents and workflows.

Q: How long does setup take? A: Minutes after connecting your sources. Outlit starts syncing and resolving data immediately with no pipelines to build.

Q: How does identity resolution work? A: Outlit matches customers across sources using emails, domains, user IDs, and metadata. A Stripe charge, a Slack thread, and a PostHog session all resolve to the same customer record automatically.

Q: Do I need to build a pipeline? A: No. Outlit handles sync, identity resolution, and data normalization out of the box. You connect your tools and query the API. No ETL, no glue code, no maintenance.

Q: Is my data secure? A: Yes. Outlit is SOC 2 Type II and ISO 27001 certified. Your data is encrypted at rest and in transit, and is never used to train models.

Q: What integrations are available? A: Based on the website, integrations include HubSpot, Stripe, Gmail, PostHog, Intercom, Salesforce, and Slack.

Conclusion

Outlit solves a specific problem in the AI agent stack: customer data lives in five different SaaS tools, and giving an agent access to all of it requires either expensive ETL pipelines or brittle multi-API orchestration. Outlit collapses that complexity into a single agent-ready customer profile with MCP access for direct LLM consumption.

YC-backed, SOC 2 Type II certified, $500/month Team tier — it is targeting the growing segment of teams building customer-facing AI agents that need reliable context without building the data infrastructure themselves.

If you are building agents that interact with customers and you are tired of stitching together Stripe + Intercom + HubSpot calls manually, Outlit is worth a demo call.