bcharleson/clay-gtm-cli/clay-outbound-prep

npm install -g clay-gtm-cli
brew install cloudflared
clay tables add \
  --name outbound-prep \
  --webhook-url https://app.clay.com/webhook/YOUR_WEBHOOK_ID \
  --description "Full outbound prep — enrich + email + score + first-line"
clay listen start

# Full prep from LinkedIn URL (most common)
clay fire outbound-prep \
  --data '{"linkedin_url": "https://linkedin.com/in/jdoe"}' \
  --wait --timeout 180
 
# Prep from name + company domain
clay fire outbound-prep \
  --data '{"first_name": "Jane", "last_name": "Smith", "company_domain": "stripe.com"}' \
  --wait --timeout 180
 
# Include custom context for the AI first-line
clay fire outbound-prep \
  --data '{
    "linkedin_url": "https://linkedin.com/in/jdoe",
    "my_product": "RevOps automation platform",
    "my_use_case": "reduce manual CRM updates for RevOps teams"
  }' \
  --wait --timeout 240

{
  "success": true,
  "table": "outbound-prep",
  "data": {
    "first_name": "John",
    "last_name": "Doe",
    "full_name": "John Doe",
    "title": "VP of Revenue Operations",
    "company": "Acme Corp",
    "company_domain": "acme.com",
    "employee_count": 450,
    "industry": "SaaS",
    "funding_stage": "Series C",
    "linkedin_url": "https://linkedin.com/in/jdoe",
    "email": "john@acme.com",
    "email_verified": true,
    "email_confidence": 0.96,
    "icp_score": 91,
    "icp_tier": "A",
    "job_changed_recently": false,
    "tech_stack": ["Salesforce", "Outreach", "Gong"],
    "ai_first_line": "Noticed Acme just closed their Series C — congrats. As you scale the RevOps function, curious if manual CRM hygiene is a growing pain.",
    "sequence_ready": true,
    "skip_reason": null
  }
}

# Full prep — only use if sequence_ready
RESULT=$(clay fire outbound-prep \
  --data '{"linkedin_url": "https://linkedin.com/in/jdoe"}' \
  --wait --timeout 240)
 
READY=$(echo $RESULT | jq -r '.data.sequence_ready')
if [ "$READY" = "true" ]; then
  EMAIL=$(echo $RESULT | jq -r '.data.email')
  FIRST_LINE=$(echo $RESULT | jq -r '.data.ai_first_line')
  echo "Email: $EMAIL"
  echo "First line: $FIRST_LINE"
else
  REASON=$(echo $RESULT | jq -r '.data.skip_reason')
  echo "Skipped: $REASON"
fi
 
# Batch prep a list of LinkedIn URLs
cat linkedin_urls.txt | while read url; do
  clay fire outbound-prep \
    --data "{\"linkedin_url\": \"$url\"}" \
    --wait --timeout 240 \
    | jq 'select(.data.sequence_ready == true) | .data | {email: .email, first_line: .ai_first_line, tier: .icp_tier}'
done
 
# Prep and filter for A-tier only
clay fire outbound-prep \
  --data '{"linkedin_url": "https://linkedin.com/in/jdoe"}' \
  --wait | jq 'select(.data.icp_tier == "A") | .data'
 
# Get just the first-line for copy review
clay fire outbound-prep \
  --data '{"linkedin_url": "https://linkedin.com/in/jdoe"}' \
  --wait | jq -r '.data.ai_first_line'
 
# Check usage before a large batch
clay usage show outbound-prep --pretty

clay usage show outbound-prep
clay tables reset outbound-prep --webhook-url https://app.clay.com/webhook/NEW_ID