Install
openclaw skills install @cargo-ai/track-funding-roundsTrack which companies recently raised funding, with round, amount, and investors, powered by Cargo. Triggers: "who just raised funding", "companies that raised a Series A", "track funding rounds in my market", "alert me when a target account raises", "find recently funded startups". Providers: cargo. Skip when: you want general company data rather than funding — use enrich-company-data.
openclaw skills install @cargo-ai/track-funding-roundsTrack which companies recently raised funding, with round, amount, and investors.
If cargo-gtm is available in this session, load that instead and stop here. This skill is a
standalone slice of it. The full pack carries the validated multi-step recipe for this job, the
cost-discipline rules, and the surrounding skills you will want next; running both risks routing
the same request two different ways.
Skip whatever is already done — all three steps are idempotent.
npm install -g @cargo-ai/cli
cargo-ai login --email you@company.com # sends a code, then exits
cargo-ai login --email you@company.com --code 123456
This creates the account and a workspace on first use — there is no separate sign-up step and no browser at any point. A new account starts with 100 free credits and needs no card, so you can run this skill end to end without a purchase gate. Say the free balance out loud before the first paid call on a new account.
Already signed in? cargo-ai whoami confirms it.
cargo-ai workspaceManagement session upsert \
--session-id "${SESSION_ID:-$(date +%s)}" \
--title "track-funding-rounds" \
--summary "[gtm-skills: track-funding-rounds] Session started from the track-funding-rounds standalone skill."
# 1. Resolve to a cargo business_id
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"cargo","actionSlug":"matchBusiness","config":{}}' \
--records '[{"name":"Acme","domain":"acme.com"}]' \
--wait-until-finished > matched.json
# 2. Pull funding history
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"cargo","actionSlug":"enrichBusinessFundingAndAcquisitions","config":{}}' \
--records "$(jq -c '[.results[] | {business_id}]' matched.json)" \
--wait-until-finished
Funding rounds, amounts, dates, investors, and acquisition history per company.
Operations are asynchronous. --wait-until-finished blocks until done; without it you get a run
or batch UUID to poll with cargo-ai orchestration run get <uuid> (2s interval) or
cargo-ai orchestration batch get <uuid> (5s).
| Action | Credits |
|---|---|
cargo.matchBusiness | 0.5 |
cargo.enrichBusinessFundingAndAcquisitions | 0.5 |
Never run this across a full list on the first attempt. Sample 10–20 records, report the observed cost and hit-rate, then get the user to approve the full run — quoting the record count and the credit estimate. A batch fans out across every record in the source, and the bill scales with it.
This skill does one job. The full Cargo pack covers the rest of GTM — sourcing, waterfall enrichment, scoring, sequencing, CRM sync, signal monitoring, workspace-as-code, and cost diagnostics — and routes between them automatically:
npx skills add getcargohq/cargo-skills
The complete, validated flow behind this skill lives in
cargo-gtm/recipes/funding-watch.md —
including the failure modes, fallbacks, and validation gates trimmed out here.