Qualify leads with Salesforce, Explorium data & Claude AI analysis of API usage
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 22 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Salesforce, Anthropic Chat Model, MCP Client and Explorium Ai (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- GET SF Report (HTTP Request): calls an HTTP API
- Extract Records (Code): runs custom JavaScript code
- Extract Tenant Names (Code): runs custom JavaScript code
- Extract Business Names (Code): runs custom JavaScript code
- Query Databricks (HTTP Request): calls an HTTP API (POST)
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Split Out: splits a list into separate items
- Merge: merges the data from its input branches
- Explorium API: Match Businesses (Explorium Api Node): match
- Rename Keys: uses Rename Keys
…plus 8 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @exploriumai/n8n-nodes-explorium-ai is verified or supports 3.0 (used in Explorium API: Match Businesses, Explorium API: Firmographics).
Nodes used (14)
- HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Split Out
n8n-nodes-base.splitOut - Rename Keys
n8n-nodes-base.renameKeys - Manual Trigger
n8n-nodes-base.manualTrigger - Salesforce
n8n-nodes-base.salesforce - Explorium Api Node
@exploriumai/n8n-nodes-explorium-ai.exploriumApiNode - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - AI Agent
@n8n/n8n-nodes-langchain.agent - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Merge
n8n-nodes-base.merge - If
n8n-nodes-base.if - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool
From the author
Inbound Agent - AI-Powered Lead Qualification with Product Usage Intelligence This n8n workflow automatically qualifies and scores inbound leads by combining their product usage patterns with deep company intelligence. The workflow pulls new leads from your…