Start with Vencavo
Choose a workspace, REST API, or MCP workflow and understand what is available.
DOCUMENTATION / START WITH YOUR WORKSPACE
Research. Build. Connect. Know the contract.
Start with workspace research, make a REST request, or connect an AI client. Read the implemented contracts, supported filters, credit costs, and recovery rules in HTML or Markdown.
YOUR AI CLIENT. YOUR WORKSPACE.FICTIONAL EXAMPLE
The same research, through MCP.
“Review my prospect list. Keep the source facts and our notes distinct.”
- 01Free
get_research_listSaved references + workspace notes - 02Free
get_list_contextPublic context for selected members
Scoped access Approval before paid operations
Fictional records · No live request or credit spend
Verified workspace requiredStart with your workspace.
Start with your workspace.
Then choose your client.
Create an account at app.vencavo.com, verify your email, and select a workspace. Use these guides to authorize REST requests and MCP connections. The website demonstrations use fictional records.
Data and documentationAvailable now
# Working documentation routes
GET /llms.txt
GET /developers/getting-started/index.md
GET /developers/mcp/index.md
# Product access
Origin → https://app.vencavo.com
Contract → implemented REST + MCP
Demos → fictional website recordsStart, workspace, build, and reference
Read llms.txt Find your next step.
Use a workspace
Search source records, keep shared research notes, and manage scoped access.
Make your first REST request
Identify a workspace, search one page, and retry with the implemented REST API.
Connect an AI client through MCP
Authorize a client, confirm its workspace, and make a bounded call with the implemented MCP contract.
Search filters and credits
Look up supported filters, matching rules, pagination, and shared credit costs.
Agent research workflows
Design bounded company research with explicit tool inputs, inspectable records, source context, and reviewable unknowns.
Company, people, and relationship data model
Inspect actual company export fields and proposed person, role, membership, reporting, event, and technology models with explicit unknowns.
Data evaluation and provenance
Evaluate identity, field coverage, source evidence, freshness, and explicit unknowns against your integration requirements.
Errors and request limits
Recover REST and MCP failures without duplicate charges or unsupported fallback data.
Choose your access pathFor applications.
For applications.
For agent workspaces.
Create a workspace and connect with scoped REST or MCP access. Follow the setup guides for supported operations, filters, credit costs, and retry rules.
API overview
Search companies and people, inspect profiles, build lists, and unlock contact evidence through the same workspace as your app. Connect with a scoped API key.
MCP overview
Bring company and people research into your AI client. Search, inspect profiles, build shared lists, and review contact access through your Vencavo workspace.
BUILT TO FIT YOUR STACKBring your AI client.
Bring your AI client.
Keep the workspace context.
Use the implemented REST API and MCP tools for company and people research. Search, inspect profiles, and keep shared lists with scoped access.
Examples use fictional data. Connect your verified workspace with scoped API or MCP access.
Read the setup guidesIMPLEMENTED REST INPUT · FICTIONAL EXAMPLE
Company context for the product you’re building.
company-search-request.json
{
"query": "",
"limit": 10,
"filters": [
{
"field": "companyCountry",
"include": [
"IN"
],
"exclude": []
}
]
}An input for POST /api/v1/directory/companies/search using your authorized workspace. Use an authorized key and a new operation key for each intentional page. This example sends no request.
Make your first REST requestFICTIONAL MCP CALL EXAMPLE
A clear tool. A specific question. Useful context.
tool-call.json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "get_company",
"arguments": {
"id": "fictional-company-forma"
}
}
}The implemented get_company input shape with a fictional source ID. This example does not connect to a server.
Read the MCP referenceFICTIONAL CSV SAMPLE
Take your research into the next workspace.
vencavo-fictional-sample.csv
"Company","Domain","Industry","Location","Employees"
"Forma Labs","forma.example","SaaS","San Francisco, US","51–200"
"Northstar","northstar.example","Fintech","London, UK","201–500"
"Layers","layers.example","SaaS","Bengaluru, IN","11–50"
"Orbit Financial","orbit.example","Fintech","New York, US","51–200"Four fictional company records for reviewing column structure. Copy this example or filter and export the website sample.
Filter and export the sampleFictional example data
BUILD WITH CONTEXTSmall, clear contracts.
Small, clear contracts.
More useful applications.
Read the implemented REST and MCP contracts, supported filters, and workspace permissions before connecting your client.
Create your workspaceRead the setup guide 100 welcome credits for eligible founders. No card needed to create an account.