RelayPlane

# Lead Enrichment Enrich lead data with company info, social profiles, and qualification scores. ## Context Efficiency | Approach | Tokens Through Context | |----------|------------------------| | Direct tool calls | ~10,000 | | This skill | ~1,000 | | **Reduction** | **90%** | Lookup results and analysis stay in the workflow engine. Only the final enriched lead data enters your context. ## Usage ```typescript import { relay } from "@relayplane/sdk"; const result = await relay .workflow("lead-enrichment") .step("lookup") .mcp("clearbit:lookup") .params({ email: "{{input.email}}" }) .step("analyze") .with("anthropic:claude-3-5-haiku-20241022") .depends("lookup") .prompt("Score this lead based on enriched data...") .step("format") .with("openai:gpt-4o-mini") .depends("analyze") .prompt("Format for CRM import...") .run({ email: "john@acmecorp.com", name: "John Smith" }); console.log(result.finalOutput); // CRM-ready lead data ``` ## Models Used | Step | Model | Why | |------|-------|-----| | Lookup | MCP tool (Clearbit, etc.) | Real-time data enrichment | | Analyze | anthropic:claude-3-5-haiku-20241022 | Fast, cost-effective analysis | | Format | openai:gpt-4o-mini | Structured JSON output | ## Estimated Cost ~$0.01-0.03 per lead (provider costs only, RelayPlane is BYOK) ## Output Schema ```typescript interface EnrichedLead { contact: { email: string; name: string; title: string; }; company: { name: string; domain: string; industry: string; size: string; }; qualification: { score: number; // 1-100 tier: 'Hot' | 'Warm' | 'Cold'; signals: string[]; }; nextAction: string; notes: string; } ``` ## Integration Note For production use, replace the lookup step with actual MCP tools like: - `clearbit:lookup` - Company and person data - `linkedin:profile` - Professional profile - `crunchbase:company` - Funding and company info