← ClaudeAtlas

gtm-enrichment-deeplisted

AI-agent-powered lead enrichment using Sixtyfour as primary source. Takes an email (+ optional name) and returns comprehensive person + company data with funding, AI/B2B classification, and full error visibility. Higher cost (~$0.20/lead) but simpler architecture.
gooseworks-ai/goose-skills · ★ 727 · AI & Automation · score 82
Install: claude install-skill gooseworks-ai/goose-skills
# GTM Enrichment — Deep (Sixtyfour AI Agent) ## Setup Read your credentials from ~/.gooseworks/credentials.json: ```bash export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])") export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))") ``` If ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login` All endpoints use Bearer auth: `-H "Authorization: Bearer $GOOSEWORKS_API_KEY"` Enrich a lead from an email address (+ optional name) using Sixtyfour's AI agents as the primary enrichment source. Returns person data, company data, funding history, and AI/B2B classification. **Cost**: ~$0.20-$0.22 per lead **Latency**: ~30-60s (Sixtyfour AI agents browse the web) ## Input Required: - **email** — the lead's email address (e.g., `jane@acme.com`) Optional: - **name** — full name if known (improves match rate) ## Workflow ### Step 1: Extract Domain Extract the domain from the email address. Example: `jane@acme.com` -> domain: `acme.com` ### Step 2: Run Sixtyfour Enrichment (parallel) Fire both calls simultaneously. These are the primary data sources. **Enrich Lead** ($0.10): ```bash curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"api":"sixtyfour","path":"/