AI agents for GTM tasks
Autonomous workers research, qualify, and act on GTM signals without manual intervention. The product page shows research, qualification, and SDR-style agent examples.
Cargo란 무엇인가요?
Cargo is GTM infrastructure for teams that want to automate revenue operations around a shared set of primitives: agents, plays, tools, and data models. The site describes it as a layer for data, handoffs, and automation, built to scale revenue without scaling headcount.
It supports both visual and programmable workflows. Users can design and deploy in the app, or work from the API, CLI, Claude Code, and Cursor, which makes it suitable for teams that want a central system for research, enrichment, qualification, routing, and outreach.
Cargo(으)로 무엇을 할 수 있나요?
Triggered multi-step plays
Always-on workflows run when a signal fires, such as a new lead, signup, website visitor, mention, or funding event. Plays are designed to repeat the same process reliably.
Reusable tools across the stack
Reusable GTM functions can be called by agents, the UI, the API, or Claude Code. The tools page shows examples like stakeholder lookup, email finding, and revenue extraction.
Unified data models
A unified data model connects CRM, product, and enrichment data so downstream workflows run from one source of truth. The site positions this as the base layer for orchestration.
UI and code-based building
Users can build visually in the UI or programmatically through the API and CLI. Cargo shows TypeScript examples for listing plays, creating batch runs, and triggering agents.
Operational controls for workflows
The platform includes run-level observability, version history, controlled rollouts, retries, and rollback support. These controls are presented as part of the infrastructure approach.
사용 사례
“Account list building”
Generate lookalike account lists from your best-fit customers and use them in outbound or campaign planning.
“CRM enrichment”
Keep CRM records current by combining multiple enrichment providers and updating account data from one workflow.
“Research and enrichment for outreach”
Research prospects across the web, news, and LinkedIn to gather contact details and background information for personalized outreach.
“Lead scoring and prioritization”
Score accounts and leads from intent and engagement signals so reps can focus on higher-priority opportunities.
“Lead routing and assignment”
Route incoming leads to the right rep based on territory, capacity, and account fit to reduce handoff delays.
자주 묻는 질문
What is Cargo used for?
Cargo is designed for GTM teams that want to build AI agents, workflows, tools, and data models in one system. The source shows setup and use through the app, API, CLI, Claude Code, and Cursor.
Can teams use Cargo without coding?
Yes. The site shows two ways to build: visually in the UI or programmatically with Claude Code and the API/CLI. It also shows examples of listing plays or agents and creating batch runs from code.
How do the main Cargo primitives fit together?
Cargo positions agents, plays, tools, and data models as the core building blocks. Agents handle autonomous GTM tasks, plays run triggered workflows, tools provide reusable functions, and data models unify CRM, product, and enrichment data.
How does Cargo pricing work?
Cargo’s pricing page says every plan includes AI agents, workflows, and 100+ integrations, with a free trial and pay-as-you-grow pricing. It also says there is no feature gating.
What integrations and tools does Cargo support?
The source highlights 100+ integrations, but it does not provide a full integration catalog in the collected text. The tools page shows examples such as finding stakeholders, finding email, and extracting revenue data.
주요 정보
- Category
- GTM infrastructure
- Platform
- Web app, API, CLI
- Primary users
- GTM and revenue operations teams
- Source domain
- getcargo.io
- Integrations
- 100+ integrations
- Pricing model
- Free trial, then pay-as-you-grow credits
Cargo 트래픽 분석
트래픽 데이터는 참고용으로만 확인하세요.
- 도메인 평점
- 38
Cargo 대안
Conductor
conductor.build
Conductor는 격리된 워크스페이스에서 Claude Code, Codex, Cursor 에이전트를 동시에 실행하는 Mac 앱으로, 개발자가 작업을 위임하고 변경 사항을 검토한 뒤 로컬에서 병합하도록 돕습니다.
OOMOL
oomol.com
OOMOL은 Gmail, GitHub, Notion을 AI 에이전트에 연결해 Codex, Claude Code, Cursor에서 인증된 도구를 재사용하도록 하며, 무료·유료·사용량 기반 요금을 제공합니다.
Happycapy
happycapy.ai
브라우저에서 Claude Code 실행, 스킬 관리, 안전한 샌드박스 내 작업 위임을 지원하는 에이전트 플랫폼.
Claude Code Boilerplate
supalaunch.com
CLI, VS Code, JetBrains를 지원하는 Claude Code용 프로덕션 설정 패키지로 재사용 가능한 지침, MCP 구성, 훅, 워크플로 템플릿을 제공합니다.
WOZCODE
withwoz.com
토큰 사용을 줄이고 코딩 워크플로를 가속하는 공식 Claude Code 플러그인
Diffsmith
apps.mergeable.io
Diffsmith는 Claude Code, Cursor, Codex, Copilot 같은 AI 코딩 에이전트가 만든 로컬 git 변경 사항을 검토하는 macOS 네이티브 앱입니다. 인라인 댓글을 달고 프롬프트로 보내거나 로컬 MCP 서버를 통해 에이전트에 전달할 수 있습니다.