GTM infrastructure for AI agents
Cargo is a code-first platform for building go-to-market infrastructure: unified data models, always-on "Plays" (workflows triggered by live signals), reusable "Tools", and autonomous agents that research, qualify, and act on GTM signals, defined as TypeScript and deployed via a CLI (a "CDK for GTM").
| Plan | Price | Included | Notable |
|---|---|---|---|
| Free Trial | $0/mo | 100 credits (up to 100 enrichment credits, 10K orchestration steps, 100K storage inserts) | AI Agents, Workflows, Data Models |
| Starter | From $165/mo | 1.5K credits | No feature gating vs. higher tiers, Community support |
| Growth | From $250/mo | 2.5K credits | Email support |
| Professional | From $1,190/mo | 17K credits | Priority support |
| Enterprise | From $3,000/mo | 50K+ credits | Dedicated support, SSO |
Checked 2026-08-03 against their pricing page. Vendors change pricing without notice.
Cargo positions itself against point-tool GTM stacks: instead of buying separate enrichment, sequencing, and routing tools, teams define data models, workflows, and agents as versioned TypeScript code and deploy them through a CLI, with an equivalent visual/no-code path in the web app.
GTM engineers and revenue operations teams who want to own their GTM automation as version-controlled code rather than rent it as disconnected point tools; the vendor cites customers including Descript, Ashby, Gorgias, and Weights & Biases.
The code-first model (TypeScript, CLI, and git-based deploys) is the primary way to build on Cargo, so teams without engineering capacity on the GTM or RevOps side may be working against the product's core design even though a visual builder exists. Pricing is usage-metered at $0.25 per credit starting around $165 per month for Starter, so teams that need one narrow function should model expected credit use before choosing a broader orchestration layer.
Tools that let a revenue team compose several data providers into one workflow, run it conditionally across a list of accounts or people, and push the result into a CRM or sequencer. The unit of work is a table or a pipeline, not a single lookup.
Category: GTM data orchestration. Membership is decided by 4 stated tests, not by category tags — see them and the full comparison.
Appears in comparison shortlists
Yes, but in the reverse direction from most vendors: rather than a single hosted MCP server, Cargo lets a workspace expose its own MCP server per configuration, retrievable via GET /ai/mcpServers/{uuid}, returning the actions and resources that server exposes to an AI assistant.
Both paths exist: the vendor states the same workflows can be built in code, the CLI, or the visual app, but the documented quickstart is code-first - a TypeScript project structure deployed via the @cargo-ai/cli CDK.
Usage-based at $0.25/credit. A free trial includes 100 credits; paid tiers start from $165/mo (Starter, 1.5K credits) up to custom Enterprise pricing (from $3,000/mo, 50K+ credits). The vendor states there is no feature gating across tiers - differences are support level and credit volume.
The marketing site advertises 100+ integrations, naming HubSpot, Salesforce, Slack, LinkedIn, and Apollo among them.
The vendor names Descript, Ashby, Gorgias, and Weights & Biases, and claims 10,000+ users, on its own marketing site.
This page tells you whether Cargo fits. Cheetah builds and runs the system it goes into — enrichment, sequencing, CRM and the joins between them.
Book a call →The directory stays free. There is nothing gated behind this.