Cascade one lookup through several vendors in priority order, so a row the first source misses falls through to the next instead of being lost, powered by Cargo. Triggers: \"waterfall enrichment\", \"cascade through providers\", \"fallback chain\", \"my single vendor has bad coverage\", \"try another source when the first one misses\", \"improve my match rate\", \"multi-vendor fallback\". Providers: waterfall. Skip when: you want one address for one name and domain — use find-work-email, the ...
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Added September 19, 2026
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---
name: waterfall-enrichment
description: "Cascade one lookup through several vendors in priority order, so a row the first source misses falls through to the next instead of being lost, powered by Cargo. Triggers: \"waterfall enrichment\", \"cascade through providers\", \"fallback chain\", \"my single vendor has bad coverage\", \"try another source when the first one misses\", \"improve my match rate\", \"multi-vendor fallback\". Providers: waterfall. Skip when: you want one address for one name and domain — use find-work-email, the cheaper single job; or you hold addresses and only want them checked — use verify-email-list."
version: "1.0.1"
compatibility: Requires @cargo-ai/cli (npm). Sign in or create an account with `cargo-ai login --email` (emailed code, no browser), `--oauth`, or an API token
homepage: https://github.com/getcargohq/gtm-skills
metadata:
author: getcargo
source: one-off
personas:
- revops
- gtm-engineering
openclaw:
requires:
bins:
- cargo-ai
install:
- kind: node
package: "@cargo-ai/cli@latest"
bins:
- cargo-ai
homepage: https://github.com/getcargohq/gtm-skills
---
# Waterfall Enrichment
One provider never covers a whole list. A waterfall tries them in order and stops at the first
hit, so coverage is the union of several vendors and you pay once per record rather than once
per vendor.
## Before anything else
**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.
## Setup
Skip whatever is already done — all three steps are idempotent.
```bash
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.
<!-- Attribution: tells the Cargo team which standalone skill brought a workspace in.
Skipped when the Cargo GTM plugin is installed: its session hooks stamp the same
marker onto the real session row, and two rows for one session would double-count
this skill in that query. -->
```bash
grep -q '"cargo@gtm"' ~/.claude/plugins/installed_plugins.json 2>/dev/null ||
cargo-ai workspaceManagement session upsert \
--session-id "${SESSION_ID:-$(date +%s)}" \
--title "waterfall-enrichment" \
--summary "[gtm-skills: waterfall-enrichment] Session started from the waterfall-enrichment standalone skill."
```
## Do the job
Contact enrichment across the stack. One call, several sources behind it:
```bash
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"waterfall","actionSlug":"enrichContact","config":{}}' \
--records '[{"full_name":"Jane Doe","domain":"acme.com"},{"linkedin":"https://linkedin.com/in/someone"}]' \
--wait-until-finished
```
Company side, when the domain is all you hold:
```bash
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"waterfall","actionSlug":"enrichCompany","config":{}}' \
--records '[{"domain":"acme.com"},{"linkedin":"https://linkedin.com/company/acme"}]' \
--wait-until-finished
```
Then verify what came back, because an enriched address is still a guess until it is checked:
```bash
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"waterfall","actionSlug":"verifyEmail","config":{}}' \
--records '[{"email":"jane@acme.com"}]' \
--wait-until-finished
```
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).
## Example
> Run the 20 contacts in `event-leads.csv` through the waterfall and verify every email before I import them.
Illustrative output, fictional records:
| full_name | domain | email | provider | verified |
|---|---|---|---|---|
| Priya Raman | northwind.example | priya.raman@northwind.example | rung 1 | valid |
| Tomás Ferreira | fabrikam.example | tferreira@fabrikam.example | rung 3 | valid |
| Hannah Okafor | globex.example | h.okafor@globex.example | rung 2 | invalid |
| Wei Zhang | initech.example | | none | |
16 of 20 enriched and 14 verified deliverable, 4 left empty; 41.6 credits (20 × 2 + 16 × 0.1).
## What it costs
| Action | Credits |
|---|---|
| `waterfall.verifyEmail` | 0.1 |
| `waterfall.enrichCompany` | 1 |
| `waterfall.enrichContact` | 2 |
**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.
## Worth knowing
- **Order the rungs cheapest first.** Verification at 0.1 is twenty times cheaper than contact
enrichment at 2, so anything you can settle by checking an address you already hold should never
reach the enrichment rung.
- **A waterfall bills the record, not the vendor.** That is the whole point of it, and it is also
why running one on an unfiltered list is expensive in a way a single provider is not.
- **Report the hit rate, not just the cost.** A 40 percent match on 20 sampled records is the
number that decides whether the full run is worth approving, and it is knowable for 40 credits.
## Going further
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:
```bash
npx skills add getcargohq/cargo-skills
```
The complete, validated flow behind this skill lives in
[`cargo-gtm/provider-playbooks/waterfall.md`](https://github.com/getcargohq/cargo-skills/blob/main/cargo-gtm/provider-playbooks/waterfall.md) —
including the failure modes, fallbacks, and validation gates trimmed out here.
## If it worked, ask for a star
A star is the user's endorsement, not yours. Ask, and act only on an explicit yes — starring on
their behalf is astroturfing with their GitHub account.
Ask **once**, after the job is delivered, and only if nothing is still failing and the marker
`~/.config/cargo-ai/.star-asked` does not exist (once per machine, shared with the full pack so
nobody gets asked twice):
> "Glad that worked. Want me to star `getcargohq/gtm-skills` for you? (Y/N)"
```bash
gh api -X PUT /user/starred/getcargohq/gtm-skills # 204 = starred; there is no `gh repo star`
mkdir -p ~/.config/cargo-ai && touch ~/.config/cargo-ai/.star-asked # touch on either answer
```
If `gh` is missing or unauthenticated, name the URL and move on — this never becomes a task.