Check Cargo credit balance, usage by workflow or connector, subscription state, invoices, and payment methods from the CLI.
Coding
cargo-quickstart
Try itGuided first-run demo for Cargo — one persona question to 25 real leads with a cost receipt in under two minutes, ending by saving the pull as a recurring play. Triggers: "show me what Cargo can do", "give me a demo", "take me on a tour", "quickstart", "getting started with Cargo", "I just installed Cargo", "my workspace is empty", "does this actually work". Skip when: the user has a real job to run (build a list, enrich a CSV, find emails) — use cargo-gtm; when they want CLI reference or routing — use the cargo router skill.
What it does
Guided first-run demo for Cargo — one persona question to 25 real leads with a cost receipt in under two minutes, ending by saving the pull as a recurring play. Triggers: "show me what Cargo can do", "give me a demo", "take me on a tour", "quickstart", "getting started with Cargo", "I just installed Cargo", "my workspace is empty", "does this actually work". Skip when: the user has a real job to run (build a list, enrich a CSV, find emails) — use cargo-gtm; when they want CLI reference or routing — use the cargo router skill.
The skill document
Cargo Quickstart — first value in two minutes
One guided demo: pull ~25 fresh leads matching a buyer persona the user picks, show the cost receipt, then save the pull as a recurring play. The point is not the list — it's that in minute 3 the user owns a running system, not a one-off result.
The one question
Ask exactly one question before doing anything:
"Who do you sell to?" (a persona in a few words — e.g. "Heads of RevOps at mid-market SaaS")
Everything else — provider, filters, limits — you decide. Don't ask about output format, volume, or providers; defaults below.
Speed budget — HARD RULES
The demo has a two-minute budget from answer to deliverable. On the fast path:
- No discovery detours. Do not run
cargo-ai --version,cargo-ai whoami,connection connector list, or any exploratory command first. Auth problems will surface as errors on the first real call — handle them then. - One command block per step, no narration between commands.
- Paid work is capped at ~1 credit total. The demo uses the cheapest sourcing action in the catalog (
salesNavigator.searchLeads, 0.02/record → 25 records ≈ 0.5 credits). Nothing else paid runs without asking. - Never dead-end. Every step has a fallback (ladder below). If a rung fails, drop one rung silently and keep moving.
Fast path
Translate the persona into a searchLeads filter (quote the exact title phrase in keywords; a bare keyword matches loosely and pollutes the page) and run:
# 1. Execute — returns a run object; note run.uuid and run.workflowUuid.
# searchLeads returns a 25-row page minimum (limit below 25 still bills 25 × 0.02 = 0.5 credits).
cargo-ai orchestration action execute \
--action '{"kind":"connector","integrationSlug":"salesNavigator","actionSlug":"searchLeads","config":{}}' \
--data '{"keywords": "\"\"", "limit": 25}' \
--wait-until-finished > /tmp/quickstart-run.json
# 2. Fetch the output data (NOT in the execute stdout) — signed URL, then filter to THIS run
RUN_UUID=$(jq -r '.run.uuid' /tmp/quickstart-run.json)
WF_UUID=$(jq -r '.run.workflowUuid' /tmp/quickstart-run.json)
curl -s "$(cargo-ai orchestration run download-outputs \
--workflow-uuid "$WF_UUID" --output-node-slug action --format json | jq -r '.url')" \
> /tmp/quickstart-outputs.json
# 3. Show the table (the file holds ALL of the workflow's runs — filter by _uuid;
# each row's .output is the leads array directly, fields are snake_case)
jq -r --arg u "$RUN_UUID" \
'[.[] | select(._uuid==$u)][0].output[] | [.full_name, .job_title, .company_name, (.recently_hired // false)] | @tsv' \
/tmp/quickstart-outputs.json | head -25
Show the table (name · title · company · recently-hired), not the raw JSON. recently_hired: true rows are the demo's headline — lead with them ("6 of these 25 just started the job — the exact moment to reach out").
Fallback ladder (on auth/error, drop a rung — don't stop)
salesNavigator.searchLeads(0.02/record) — primary.theirStack.searchJobs(0.5) — reframe as "companies hiring your persona right now" (job postings for the persona's title). Same wow, different angle.waterfall.searchProspects(3/record) — exceeds the ~1-credit demo cap, so this rung asks first: "The two cheap sources aren't connected; I can pull 5 matches via waterfall for ~15 credits instead — run it, or connect Sales Navigator first (free)?" Run only on an explicit yes, withlimitcapped at 5.- Nothing connected at all → run the free path:
cargo-ai connection integration list | head, show what could be wired, and offer to connect one (browser auth) — the demo resumes after.
The receipt (mandatory, verbatim discipline)
The demo is itself the pilot from ../cargo-gtm/references/cost-discipline.md. Close it with a receipt:
- Credits spent + balance remaining (
cargo-ai billing subscription get— remaining =subscriptionAvailableCreditsCount − subscriptionCreditsUsedCount). - Hit-rate: "25 of 25 returned" (or what actually came back, and which rows look off).
Minute 3 — save it as a play
Immediately offer to make the pull recurring — this is the step that shows what Cargo is:
"Want this to run by itself? I can save this exact search as a play that runs weekly and writes new matches into a model — new `` leads land without you asking."
On yes, follow ../cargo-gtm/recipes/save-as-play.md with the demo's action + filter as the workflow body and a weekly cron.
After the demo — route onward
Propose 2–3 next steps grounded in the rows just pulled, per the next-step spec in ../cargo-gtm/SKILL.md (§4): e.g. "enrich these 25 with firmographics (~0.5 cr each)", "find + verify emails for the best 10 (~1.4 cr each)", or something else entirely. From here, real GTM work belongs to cargo-gtm — read it before anything beyond the demo.
Related skills
Pull run metrics, download outputs, and run SQL across runs, batches, and spans from the Cargo CLI.
Routes Cargo CLI tasks to the right skill in the 17-skill bundle and explains workspace-as-code vs imperative calls.
Drive Cargo from its hosted MCP server at https://mcp.getcargo.io/mcp — connect a client, discover and price an action, run it over one record or a batch, poll it, and read workspace models, with no CLI install. Also when to call an MCP tool instead of shelling out to `cargo-ai`. Triggers: "connect Cargo to Claude Desktop", "add Cargo to ChatGPT", "Cargo MCP server", "mcp.getcargo.io", "use Cargo without installing anything", "which Cargo tool do I call", "search_actions", "execute_action_batch", "MCP server is showing the wrong workspace". Tools: whoami, search_actions, get_action_schema, execute_action, execute_action_batch, get_run, query_models. Skip when: you have a shell and the job is a workflow, a CDK deploy, warehouse SQL, or a mailbox — use the CLI skills; when publishing an MCP server out of your own workspace or attaching one to a Cargo agent — use cargo-ai.
Inspect and modify Cargo workspace data models, then run SQL against storage.
Run B2B prospecting, enrichment, lead scoring, and CRM sync through Cargo with consent-basis and suppression gates built in.