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Deepline provides a CLI and SDK for agents and applications. This quickstart shows you how to install Deepline, authorize one workspace, and run one enrichment with /deepline-gtm.
Using ChatGPT Work or another client without a shell? Follow the MCP setup guide. It includes a 2:42 video walkthrough.

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Watch the setup

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1. Install

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Prerequisites

  • Claude Code or any AI coding agent
  • Permission for the agent to run setup commands

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Ask your agent to install Deepline

Paste this into Claude Code, Codex, Cursor, Gemini CLI, or another shell-capable coding agent:
The agent handles Node.js and npm compatibility when the environment allows it, installs the CLI and Deepline skills, starts browser authorization, and verifies the result. If the runtime cannot be changed safely, the agent gives you the exact official install handoff and resumes afterward. In a restricted sandbox it automatically uses a persistent project-local install.You only need to approve the agent’s native command prompt and the Deepline browser authorization.
If this command reports that Node.js or npm is missing or unsupported, install the current Node.js LTS release from nodejs.org and retry, or use the coding agent flow above to handle runtime setup.If setup fails, use the exact retry or diagnostic command in its JSON response. Run deepline doctor --json when setup directs you to diagnose the environment.

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2. Use the skill

The Deepline skill auto-syncs when you install the CLI. In Claude Code, type:
The /deepline-gtm prefix tells Claude Code to use the Deepline skill. Describe the required result and constraints after the prefix.

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3. Try a starter prompt

Choose one of the same starter workflows offered after setup:
Or describe your own business problem. Your agent will turn it into one concrete /deepline-gtm prompt, show you the reusable prompt, and run it without making you paste it again.
The waterfall tries providers in order. It stops after a valid result. Billing depends on the current pricing unit for each provider. Some providers charge for a result. Other providers charge for a request or page. Examine the route before you scale. Run a representative pilot. Coverage varies by ideal customer profile and region.

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What just happened

  1. Deepline searched prospecting providers for a CMO in New York City.
  2. Deepline ran an email provider waterfall.
  3. Deepline stopped after the first valid, verified email.
  4. Deepline recorded the provider calls and credit use.

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Scale it up

For a list, use this request:
Deepline reads the file and selects the applicable waterfall. Then, Deepline enriches each row. Pilot mode: Ask the agent to test representative rows before the full file. Include easy, typical, and difficult inputs. These differences can change coverage or cost. Examine the provider route and measured pilot cost. Then, approve or reject the full run. For the checklist, read Cost control.

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Next steps

API Reference

How tools, payloads, and waterfall execution work under the hood.

Database Access

Query resolved customer data from the local database surface.

Email Waterfall Recipe

Step-by-step: find verified emails for a list of contacts.

Provider Integrations

Per-provider guides, schemas, and sample outputs.

I Have X, I Want Y

Pick the right workflow based on what data you already have.

Example Skills

Open-source GTM workflow templates on GitHub.
Reach us: /deepline-feedback in Claude Code, or team@deepline.com.