Never send a cold email blindly again. Know their tech stack, news, and pain points before you say "Hello".
This pattern processes a batch of raw leads (Email/Domain). It uses `deep_research` to build a dossier and updates your CRM automatically.
graph TD
A[CSV Input] --> B[CSV Parser];
B -- "Row: CEO @ Acme" --> C[Deep Research];
C -- "News + Tech Stack" --> D[Profile Summarizer];
D -- "Structured Dossier" --> E[CRM Update];
Total execution cost: 13.0 $TCK per lead.
| Step | Skill | Price | Function |
|---|---|---|---|
| 1. Parse | csv_parser_v1 |
2.0 $TCK | Handles large datasets and cleans inputs. |
| 2. Research | deep_research_v1 |
6.0 $TCK | The Heavy Lifter. Browses LinkedIn, Blogs, and News. |
| 3. Profile | profile_summarizer_v1 |
3.0 $TCK | Synthesizes raw research into a "3-Bullet Strategy". |
| 4. Sync | crm_update_v1 |
2.0 $TCK | Pushes data to HubSpot/Salesforce via API. |
Execute this pipeline via the standard VMP API endpoint.
{
"pipeline": "lead_enrichment_v1",
"steps": [
{
"skill": "deep_research_v1",
"input": {
"query": "Recent strategic shifts at Acme Corp",
"domain": "acme.com",
"role": "CTO"
}
},
{
"skill": "profile_summarizer_v1",
"input": {
"context": "$prev.output",
"format": "sales_brief"
}
}
]
}Need an API Key? Get one in the Quickstart guide.