Cargo sells itself to the RevOps engineer: a revenue orchestration platform where you model your data, wire workflows across a hundred-plus integrations, drop AI agents into the steps, and route enriched, scored records into the CRM and the sequencer exactly the way your process demands. AstroFabric sells to whoever owns the objective: seven agents that identify, enrich, verify, watch, build audiences and write first touches without anyone wiring the workflow, delivering into the same CRMs and sequencers under approval gates. The comparison is between building the orchestration layer yourself on a strong builder and delegating the work to agents that plan it at runtime. Public information as of September 2026; verify current numbers on Cargo's pricing page.
The short version
Cargo gives a technical RevOps team the parts to build its own GTM data machine. AstroFabric gives a team without that builder the machine's outputs, because the agents plan the route themselves. Composability and control versus delegation and finish: that is the whole comparison.
What Cargo actually is
Cargo's core is the workflow over a data model: you define the objects your revenue process cares about, connect the warehouse, the CRM, the enrichment providers and the sequencers among its hundred-plus integrations, and compose workflows that enrich, score, route and act, with AI agents available as steps inside them. It is built for the operator who thinks in systems - the RevOps engineer, the GTM engineer, the agency productizing outbound - and its integrations and orchestration primitives are the product. Pricing, as published in September 2026, is credit-based across five tiers, every one including agents, workflows, data models and all integrations: Starter from $0 a month with 100 credits and community support; Growth from $165 with 1,500 credits; Scale from $250 with 2,500 credits; Enterprise from $1,190 with 17,000 credits, priority support and SSO; and Custom from $3,000 with 50,000 or more credits and dedicated support. Credit consumption varies by the enrichment providers a workflow uses. The honest read: for a team with the engineer to build and maintain the orchestration, Cargo is a flexible, well-priced fabric, and the data quality it produces is a function of the sources that engineer wires in.
What AstroFabric actually is
AstroFabric is agentic AI for business intelligence, the GTM-data kind. The catalog and the agents come together: the prospecting agent identifies accounts and people, the enrichment agent runs a waterfall across many sources with provenance per field, the verification agent checks emails and phones and suppresses customers and competitors, the signals agent keeps a standing watch, the audience agent builds matched audiences on connected ad accounts, the personalization agent writes first touches from evidence, and the company intelligence agent assembles account plans. Nobody wires the workflow: the agent plans it at runtime from the objective, the way an agentic workflow replaces a pre-drawn one. Pricing is credits with no seats, enrichment charged only when a source answers, an approval gate on every external write, a credit ceiling on every run and an audit log throughout. It is reachable from the console, the REST API, MCP, the CLI, Slack, Telegram and email, which is also how a Cargo workflow would call it.
Side by side
| Dimension | Cargo | AstroFabric |
|---|---|---|
| Interaction model | An operator models data and builds workflows; agents run as steps | Agents plan and execute objectives; a person approves writes |
| Data sources | Whatever the operator connects, through integrations | The built-in catalog, run as a waterfall with provenance per field |
| Skill required | Systems thinking and workflow craft | An objective and an approval queue |
| Pricing (published) | Starter $0 (100 credits); Growth from $165/mo (1,500); Scale from $250 (2,500); Enterprise from $1,190 (17,000, SSO); Custom from $3,000 (50,000+) | Credits, no seats, charged when a source answers, under credit ceilings |
| Signals and audiences | Buildable through integrations | Standing monitors and matched audiences included |
| Governance | Workflow design and workspace roles | Approval gate on every external write, audit log |
| Flexibility ceiling | High - it is a builder | Bounded by the mission model, deliberately |
Choose Cargo if
Choose Cargo if you have a RevOps or GTM engineer who wants to own the data model and the orchestration, if your process is specific enough that a packaged mission would fight it, if you already hold contracts with the data providers you want wired in, or if the warehouse is the center of your revenue stack and the workflows should live beside it. Agencies productizing outbound systems for clients and technical RevOps teams are its natural owners, and its free Starter tier makes proving a design cheap.
Choose AstroFabric if
Choose AstroFabric if you want the outcome without building the system, if the data catalog should come with the agents rather than be assembled from contracts, if signal watches and audiences should be one objective rather than three workflows, or if governance - approvals, ceilings, an audit log - should be enforced by the platform rather than designed into each flow. Teams that already run Cargo can call AstroFabric's agents as workers from a workflow through the REST API or MCP; the two compose more often than they compete.
Frequently asked questions
Is AstroFabric a Cargo alternative?
For the outcomes - enriched, verified, signal-qualified lists, audiences and first touches - yes. The models differ: Cargo is a builder where an operator composes the workflows and connects the data; AstroFabric’s agents plan the work at runtime from an objective with the catalog included.
How does Cargo pricing compare in 2026?
Cargo publishes credit-based tiers: Starter from $0 a month with 100 credits, Growth from $165 with 1,500, Scale from $250 with 2,500, Enterprise from $1,190 with 17,000 and SSO, and Custom from $3,000 with 50,000 or more, with every tier including agents, workflows, data models and all integrations. AstroFabric is credit-priced with no seats, charged when a source answers. Credit consumption on both depends on the data used, so model against your volume.
Does AstroFabric let me build workflows?
Deliberately not as a canvas. You set objectives, constraints and approval rules, and the agents plan the workflow per run. Scripting happens through the REST API, MCP and the CLI rather than a visual builder, which keeps the mission model bounded and the governance uniform.
Can I use Cargo and AstroFabric together?
Yes. Cargo can act as the orchestration fabric and call AstroFabric’s agents as workers through the API or MCP for list-building, enrichment, verification, signals and audiences, with results routed back into the data model.
Sources
Every playbook on this blog ships as a runnable mission.
Open a workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, on your plan's monthly credits.