# Install deepline with Homebrew

CLI for Deepline data enrichment and durable plays. Version 0.2.0 via Homebrew; verified 2026-07-30.

## Install

```sh
sudo av install brew:deepline
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install deepline
```

  Evidence: local Homebrew formula metadata

## Package facts

- **Package key:** brew:deepline
- **Package manager:** Homebrew
- **Version:** 0.2.0
- **Source summary:** CLI for Deepline data enrichment and durable plays
- **Homepage:** <https://code.deepline.com>
- **Last updated:** 2026-07-30T19:04:14Z
- **Generated:** 2026-08-03T19:37:03+00:00

## Executables

- deepline (alias)
- deepline-sdk (alias)

## Install behavior

- Bottle: not available

## Freshness

- Page generated: 2026-08-03
- Package-manager version: 0.2.0
## Project history and usage

Deepline is a command-line interface, SDK, and hosted API for go-to-market data enrichment and outbound workflow automation. Its defining package-level idea is to expose many provider integrations through one agent-callable command surface, with waterfall routing and normalized results.

### Project history

Deepline is operated by Aero AI Labs, Inc.; the project's official machine-readable documentation says the company was founded in 2024. Official documentation presents the product as an SDK and CLI designed for go-to-market agents and production applications.

The CLI developed around agent-oriented installation and typed tool execution. The official quickstart documents npm installation, setup through a coding-agent skill, browser authorization, and commands that execute enrichment tools or reusable plays.

### Adoption history

Deepline is distributed as an npm CLI and through Homebrew in the supplied package metadata. Its official quickstart explicitly targets Claude Code, Codex, Cursor, Gemini CLI, and other shell-capable agents, reflecting adoption through AI-agent development environments rather than a traditional standalone desktop interface.

### How it is used

Users install and authenticate the CLI, then call typed enrichment tools or ask an agent to run a Deepline skill. Common workflows include finding and validating work emails, enriching company records, scoring leads, and writing results to CRM or sequencing systems.

Deepline supports managed credits and bring-your-own-provider keys. Official documentation recommends waterfall tools for multi-provider lookup and a small pilot run before processing a full file.

### Why package nerds care

For package-oriented users, Deepline is an example of a SaaS-backed CLI built primarily for invocation by coding agents. It packages provider discovery, authentication, schema normalization, retry and routing behavior behind a stable terminal interface instead of requiring users to install and compose many provider SDKs.

### Timeline

- 2024: Aero AI Labs, Inc., the company behind Deepline, was founded according to Deepline's official documentation index.
- 2026: Official documentation describes Deepline as an npm- and Homebrew-distributed CLI and SDK for agent-driven GTM workflows.

### Related projects

- The official documentation names Claude Code, Codex, Cursor, and Gemini CLI as agent surfaces that can invoke Deepline.
- Provider integrations such as Apollo, Hunter, People Data Labs, HubSpot, Salesforce, and Attio are composed behind Deepline's common CLI and API surface.

### Sources

- <https://deepline.com/docs/api-reference>
- <https://deepline.com/docs/features/bring-your-own-keys>
- <https://deepline.com/docs/llms.txt>
- <https://deepline.com/docs/quickstart>
- source_facts.package-manager


## Security Notes

No matching local secret-handling manifest was found for deepline. Nucleus package metadata is still published here so future coverage has a stable package URL.



## Combined YAML source

View the package source record on GitHub. [combined/deepline.yml](https://github.com/mxcl/pkgdb/blob/main/combined/deepline.yml)


## Sources

- pkg.so package database
- curated package history
- cross-ecosystem install command graph
