Cargo
Cargo is GTM infrastructure: declare your go-to-market as TypeScript in git and let coding agents deploy, retry, and trace every play.
Pick Cargo if your revenue stack has grown into glue scripts that one person's laptop keeps alive, and you want hosted execution, retries, and a trace instead. The pitch that a Claude Code session writes the same play Cargo deploys is the real differentiator — not the enrichment catalog. Pass if nobody on the team will touch git, TypeScript, or a CLI; Clay and Zapier get you moving in an afternoon without any of that.
Verified 2d ago · liveness 83/100 · cite: rightaichoice.com/tools/cargo
- GTM engineers who want plays versioned in git with plan, diff, deploy and rollback
- RevOps teams replacing hand-maintained glue scripts with hosted execution that retries and traces
- Teams standardizing on GTM as code and running revenue ops out of a pull request
- Teams whose coding agents already write GTM logic and need a runtime to deploy it
- Non-technical marketers who want plug-and-play CRM enrichment with no repo or CLI
- Teams that need a no-code-only stack and won't adopt TypeScript, git or a terminal
- Buyers shopping for a cheap single-purpose enrichment API rather than a platform
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Skip Cargo if you want plug-and-play enrichment with no repo, no CLI, and no deploy step — its versioning, plan/diff, and rollback only pay off if your team will keep GTM logic in git.
Enrichment credits cost whatever the provider action shows in the interface, so a heavy waterfall across several providers drains a tier faster than the headline credit count suggests
Every tier includes the same AI agents, workflows, data models, territory management, and all 100+ integrations — only credits and support differ. Solo GTM engineers can start on the 100-credit free trial, small RevOps teams at 1.5K credits (From $165/mo) or 2.5K (From $250/mo), scale-ups at 17K (From $1,190/mo, adds priority support and SSO), and high-volume orgs at 50K+ (From $3,000/mo, dedicated support). Against Clay or Zapier plus a warehouse, Cargo's draw is one runtime instead of many
In short
Cargo — Cargo is GTM infrastructure: declare your go-to-market as TypeScript in git and let coding agents deploy, retry, and trace every play. Best for GTM engineers who want plays versioned in git with plan, diff, deploy and rollback, RevOps teams replacing hand-maintained glue scripts with hosted execution that retries and traces, Teams standardizing on GTM as code and running revenue ops out of a pull request. Free to start; paid plans from $165/mo.
No head-to-head comparison for Cargo yet — the alternatives below are the closest matches we list.
What's new in Cargo
Checked todayAcross the latest 10 updates: 9 feature updates and 1 changelog entry.
A Daily Go-to-Market Standup in Slack and a Weekly Plan from Your Repo
Two cookbooks automate GTM rhythm: daily standup recaps posted as a Slack digest, and Monday weekly planning that ranks last week against active initiatives.
Capture Every Sales Call into Your Go-to-Market Repo
Call-capture cookbook pulls recorded calls each morning, writes one log entry per call to the GTM repo, and promotes a claim into context only after two calls support it.
Build and Host Your Company Website on Cargo With Your Own Domain
Cargo can host a statically exported Next.js site on a customer www domain, with every change going through a reviewed pull request.
Build a TAM List by Industry, Headcount and Geography
Cargo details a TAM workflow: count the market for free, then pull companies at 0.01 credits each with name, domain, industry, headcount and country fields.
How to Qualify a List of Leads Against Your ICP
Cookbook enriches companies by domain, scores them with deterministic rules, writes score, reason and tier back to CRM; ships with an open-source score-leads skill.
Ask @cargo on a Pull Request in Your Go-to-Market Repository
Mentioning @cargo on any PR in a GTM repo triggers a Cargo coding agent to answer in the thread and push to the PR branch. Setup is the GitHub app plus one trigger setting.
Agentic Email Conversations With Leads From a Mailbox You Own
Cargo ships a cookbook for an agent that replies to leads on the same thread from a workspace-owned mailbox, with a 5–40 sends/day warm-up ramp and suppression rules.
Cargo CDK resource graph, plus Monaco and Google Calendar integrations
cargo-cdk graph renders workspace resources as Mermaid or JSON with --plan diffs; new Monaco CRM actions, read-only Google Calendar integration and Firecrawl Map action.
Coding agents in Cargo now work git directly with branches and PRs
Agents work on their own branch, commit, push and merge the default branch to resolve conflicts; updating a PR refreshes its description unless edited on GitHub.
Cargo adds per-member credit limits, service accounts and AgentID sign-in
Admins can cap monthly credits per member; non-human service accounts get their own roles and revocable API tokens; AgentID becomes a sign-in option.
What people actually say about Cargo — is it worth it?
We scanned public community sources for Cargo on Aug 18, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Cargo? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Code-first GTM declared as versioned TypeScript primitives in a git repo
- Seven primitives: Agents, Context, Tools, Data Models, Plays, Territories, Apps
- cargo-ai CLI: project init, project add cookbook, plan, deploy, rollback
- Cargo CDK define* calls: defineModel, definePlay, defineAgent, defineDomain, defineWorkflow
- Same play runs from Claude Code, Cursor, Codex, Gemini CLI, Devin, Replicas or the CLI
- Hosted execution on triggers or schedules with retries and backoff
- Run-level tracing so no step fails silently
- Native email skills: sendEmail, listEmailEvents and email trigger on reply, open, bounce or unsubscribe
- Agent heartbeat that checks thread status when nothing inbound happened
- Hosted MCP server with paginated batch results, 100 rows at a time
- Separate run and batch permissions from play and tool editing
- Coding agents can respond to @cargo mentions on any pull request in their repo
- model.config.<key> reads model-written values without a redeploy
- Hosted apps: multi-page static sites from Next.js, Astro or Gatsby on custom domains
- 21 cookbooks, one job each, including account scoring, agentic engagement, call capture and TAM building
About Cargo
Cargo is a runtime for go-to-market work, aimed at teams whose revenue operations have quietly turned into unowned glue code. You declare your GTM as a git repository of TypeScript on your own GitHub — plan, context, initiatives, cadence, infra, evals, outputs, AGENTS.md, cargo.state.json — and Cargo deploys it with cargo-ai project deploy, planning the diff and rolling back to any previous state. Seven primitives (Agents, Context, Tools, Data Models, Plays, Territories, Apps) cover everything a GTM is made of, defined once and used by your team and your coding agents alike. The same play can be asked for inside Claude Code, Cursor, Codex, Gemini CLI, Devin, or Replicas, written as CDK TypeScript (defineModel, definePlay, defineAgent, defineDomain), or run from the CLI — code-first and UI-built resources execute identically, and the app exists for the people reading results, not as a second build surface. Execution is hosted on a trigger or schedule rather than a laptop, with retries and backoff, and every step is traced so nothing fails silently. Cargo ships 21 cookbooks with one job each — account scoring, agentic engagement, call capture, ask Cargo, TAM building, CRM deduplication and enrichment — over 100+ maintained connectors and 30+ enrichment providers, with native email skills (sendEmail, listEmailEvents) and an email trigger that binds an agent to a chat thread on first send. Recent releases push further into engineering discipline: run and batch permissions are now separate, the hosted MCP server returns batch rows inline 100 at a time with offset/limit paging, coding agents can answer @cargo mentions on any pull request in their repo, model.config.<key> lets apps and agents read model-written values without a redeploy, and hosted apps serve multi-page sites on custom domains. FullEnrich, Store Leads and Sillage joined the connector list. SOC 2 Type II, SAML SSO with role-based access, and evals that gate prompt changes sit at platform
Behind the Verdict
The shortest way to describe Cargo: it is where the GTM logic your coding agent writes actually runs. Everything else follows from that decision. A repo, a CLI, seven primitives, and hosted execution with retries and a trace. If that sentence sounds like relief rather than overhead, you are the buyer. When to pick it. You have revenue ops spread across scripts, Zapier zaps and a CRM nobody fully owns. Failures surface a week later. The person who wrote the glue has left or is about to. Cargo gives you plan/diff/deploy/rollback on GTM the way you already deploy product code, and the evals folder gates prompt changes before they ship. When to pass. If your team has no one who will run `npx @cargo-ai/cli@latest project init my-gtm`, the repo-first model fights you every day. Non-technical marketers who want to point a tool at a CRM list and get enriched rows will find Clay faster to a first result, and cheap single-purpose enrichment APIs cheaper. Cargo is also priced in credits — 1.5K credits at $165/mo is not the tier for a high-volume enrichment job; that conversation starts around 17K credits at $1,190/mo. Where it bites in practice. The credit model splits across enrichment credits, orchestration steps (100 steps = 1 credit) and storage inserts (1,000 inserts = 1 credit), so you need to model your own volume before you commit — the headline price tells you very little on its own. The 100-credit free trial is a real look at the product, not a working volume for most teams. And code-first means reviewers: your plays land in pull requests like any other service. The closest alternative is not a single tool. It is the stack of Clay for enrichment, Zapier or n8n for orchestration, and a CRM for state. Cargo's bet is that you would rather own one repository than four
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Real-world workflow fit
Concrete scenarios for the personas Cargo actually fits — and what changes day-one when you adopt it.
Runs `npx @cargo-ai/cli@latest project init my-gtm`, which scaffolds the repo, runs git init, writes the first commit, and installs the Cargo skills, then adds the tam-building cookbook with `cargo-ai project add cookbook/tam-building` and deploys it with `cargo-ai project deploy`
Outcome: A versioned account universe in git with plan/diff before deploy and rollback to any previous state, plus every run traced
Writes the inbound-qualify play as CDK TypeScript — trigger on demo request, qualify with an agent against the ICP, assign to a rep, notify Slack on strong fits — and lets Cargo run it on a trigger with retries and backoff
Outcome: Qualification and routing happen in seconds without one person's laptop keeping it alive, and each step appears in a trace instead of failing silently
Deploys the agentic engagement cookbook: a sending domain, a mailbox, sendEmail and listEmailEvents on the agent, an email trigger on reply and unsubscribe, and a heartbeat that checks thread status when nothing inbound happened
Outcome: The agent holds email conversations with leads, and the first sendEmail binds it to the thread so opens, replies, bounces, and unsubscribes start the next turn
Use Cases
- Keep every account scored and tiered against your written ICP by a deployed agent that re-scores as accounts arrive and as the ICP changes.
- Run agentic email engagement that holds conversations with leads, with a sending domain, a mailbox, and a heartbeat that checks thread status when nothing inbound happened.
- Collect every recorded call into the cadence layer each morning, scribe it into a log entry, and promote repeated claims into the context knowledge layer as a pull request.
- Replace CRM-native lead routing with capacity-aware routing computed from rep capacity, account match, and externally computed scores.
- Build a TAM of high-fit accounts from a cookbook source and deploy it as a scored, tiered account universe.
- Enrich CRM records from 30+ providers inside a single play without manual entry.
- Give the whole team one @mentionable Slack agent that answers from context, cadence, and live runs and turns change requests into pull requests.
- Stand up a reproducible GTM environment for a new region or client workspace with a single deploy.
Models Under the Hood
as of 2026-10-15
Limitations
- Cargo is credit-based with no feature gating; every plan includes AI agents, workflows, and all 100+ integrations, differentiated only by credits and support level.
- Published tiers run from $0/mo (100 credits) up to $3,000/mo (50K+ credits), with credits consumed across three metrics: enrichment credits (cost matches the provider action shown in the interface), orchestration steps (100 steps = 1 credit), and storage inserts (1,000 inserts = 1 credit).
- The platform is code-first: GTM is declared as TypeScript in a git repository and deployed via the cargo-ai CLI, so teams unwilling to adopt a repo-and-deploy workflow lose the versioning and rollback benefits.
- SSO is listed on the 17K and 50K+ tiers, not the lower ones.
as of 2026-10-09
Verification history
We have re-verified Cargo 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 19 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Cargo's pricing actually pencils out — and where peers do it cheaper.
Every tier includes the same AI agents, workflows, data models, territory management, and all 100+ integrations — only credits and support differ. Solo GTM engineers can start on the 100-credit free trial, small RevOps teams at 1.5K credits (From $165/mo) or 2.5K (From $250/mo), scale-ups at 17K (From $1,190/mo, adds priority support and SSO), and high-volume orgs at 50K+ (From $3,000/mo, dedicated support). Against Clay or Zapier plus a warehouse, Cargo's draw is one runtime instead of many
Setup time & first value
How long it actually takes to get something useful out of Cargo — broken out by persona, not the marketing-page minute.
GTM engineer: under an hour to first deploy if you already run a coding agent — the install is `npx @cargo-ai/cli@latest project init my-gtm`, which scaffolds the repo, runs git init, and installs the Cargo skills, then `cargo-ai project deploy` goes live. RevOps lead new to git: budget a day or two to shape the repo layout (plan/, context/, infra/, evals/) before the first play is useful. Teams
Switching to or from Cargo
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier or n8n: rebuild each zap or workflow as a defineWorkflow-backed tool and deploy it with the cargo-ai CLI so it is versioned and retried by Cargo
- →From Clay: port enrichment waterfalls into a play that calls the same providers, then keep the results in a data model instead of a spreadsheet
- →From Workato: express recipes as plays in the repo and let Cargo handle hosting, backoff, and run-level tracing
- →From hand-written Python and CSV glue: move the scripts into individual TypeScript resources so plan/diff and rollback replace manual re-runs
- →From CRM-native lead routing: reproduce assignment rules as code and layer capacity-aware routing on top of externally computed scores
- ↗To Clay: export enrichment logic back into tables and waterfalls if you decide no-code sourcing outweighs versioned plays
- ↗To Zapier or n8n: flatten the critical plays into UI automations when engineering ownership of GTM code disappears
- ↗To a bare enrichment API: keep just the provider calls and drop hosted execution, retries, and the trace if you only need records back
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Cargo”, and we withheld 6: 6 could not be judged, because “Cargo” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Cargo.
Official links
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Frequently Asked Questions
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