lead-research

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Research potential leads with verified contact information, professional backgrounds, company context, and social presence. Combines LinkedIn profiling, email verification, company enrichment, and social signals for sales-ready prospect intelligence.

AI & Automation 156 stars 12 forks Updated 3 days ago Apache-2.0

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Quality Score: 85/100

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Description 5%
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Skill Content

# Lead Research Research potential leads with verified contact information, professional backgrounds, company context, and social presence. Combines LinkedIn profiling, email verification, company enrichment, and social signals for sales-ready prospect intelligence. Read [the API map](references/sandbase-api-map.md) before selecting a capability. ## Call SandBase capabilities For every selected tool, call `sandbase_describe_tool` first and use only arguments in its current input schema. Then call `sandbase_call_tool` with the exact `tool_name`. ## Available Tools - `apollo_company_enrich` - `strale_lead_email_verify` - `strale_prospect_profile` - `agentbody_linkedin_email` - `agentbody_linkedin_profile` - `linkedin_web_v2_user_profile` ## Workflow 1. Understand the user's research question, target, and context. 2. Call `sandbase_describe_tool` for each selected tool to confirm parameter schema. 3. Call `sandbase_call_tool` with the exact tool_name and schema-defined arguments. 4. Synthesize findings into a clear, evidence-backed answer. 5. Cite sources, note evidence gaps, and separate observations from interpretations. ## Guidelines - Always call `sandbase_describe_tool` before using any capability. - Cite sources and preserve attribution (URLs, usernames, dates, metrics). - Separate factual observations from analysis and recommendations. - If data is unavailable, note the gap and continue with available evidence. - Read-only research only. Never take actions on pla...

Details

Author
sandbaseai
Repository
sandbaseai/sandbase-skills
Created
1 months ago
Last Updated
3 days ago
Language
Python
License
Apache-2.0

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