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Vendo Support Docs

Vendo helps marketing teams operate their data in one flow:

Connect -> Model -> Analyze -> Act

Use these docs to set up the parts of the platform you use day to day: connect data, transform it into useful customer and performance objects, approve AI recommendations, and send clean signals to the tools where your team acts.


Start Here

GoalStart withWhat you will do
Track first-party website eventsWeb TrackingConfigure write key in Connected Apps
Connect business dataSourcesConnect tools like Shopify, Stripe, ad platforms, analytics, and webhooks
Understand the entity modelData ModelHow events, users, groups, ad data, and custom tables fit together
Understand available dataData CatalogBrowse tables, columns, event properties, and metadata from connected sources
Query data directlySQL EditorWrite and execute SQL queries against your warehouse
Model customer dataCustomer 360Resolve identities, merge profiles, and compute calculated properties
Build transformationsData StudioCreate SQL, Python, grouping, ML, and notebook transformations
Review AI recommendationsActionsConfigure cadence, review pending queue, approve or dismiss
Operationalize workTasksCreate tasks, attach workflows, track execution
Send data to other toolsDestinationsSync events, profiles, audiences, and transformation outputs downstream
Ask AI for helpAgentQuery data, build transformations, and generate analysis on the canvas
Connect external AI toolsMCP ServerConnect Cursor, Claude, or Codex to your workspace
Monitor job executionActivity LogsView sync history, troubleshoot failures, track system activities
Try experimental featuresLabsPreview upcoming features before general release

How Vendo Is Organized

Agent

The Agent (formerly Copilot) is your command center. Ask questions, analyze performance, build transformations from conversation, and view multi-chart dashboards on the canvas.

Approvals & Automations

This is where AI recommendations meet human review and operational execution — Approvals and Automations in the sidebar.

  • Actions — the Approvals queue: AI proposes, humans approve
  • Tasks — Automations: operationalize intent into workflows
  • Memory — track changes across campaigns and decisions

Data

Data is your foundation — the catalog, connections, and transformation layer.

  • Data Model — events, users, groups, ad data, and custom (unclassified) entities
  • Data Catalog — browse sources, customers, events, and properties
  • SQL Editor — query your warehouse directly
  • Web Tracking — first-party event collection
  • Customer 360 — identity resolution and unified profiles
  • Data Studio — SQL, Python, grouping, ML, and notebooks
  • Metrics Library — define custom metrics from sources or compose them from other metrics
  • Pipelines — the data-flow map on the Data Overview page
  • Connected Apps — manage platform credentials and connection status

Analyze

Analyze is where data becomes decisions and institutional memory.

  • Reports — Insights: cross-channel views and scheduled AI commentary
  • Documents — Library: persistent markdown for team knowledge and Agent context
  • Memory — track changes across campaigns and decisions

Operations

Monitor and maintain your workspace.

  • Activity Logs — job execution history and troubleshooting
  • Labs — experimental features and early previews

Sources

Sources bring data into Vendo on a schedule or in realtime.

  • Tracking SDK — JavaScript SDK reference
  • Shopify — orders, customers, products, and storefront events
  • Stripe — payments, subscriptions, and revenue data
  • Google Ads and Meta Ads — spend and conversion data
  • Webhook — custom source events from your own systems

Destinations

Destinations send clean data out of Vendo.


Common Workflows

Set up first-party tracking

  1. Open Data → Web Tracking in Vendo.
  2. Create or copy your tracking write key.
  3. Add the Tracking SDK snippet to your site.
  4. Send page, track, and identify events.
  5. Verify events in the Data Catalog.

Connect and transform a marketing source

  1. Connect the source, such as Shopify, Stripe, or an ad platform.
  2. Confirm sync status in the source detail page.
  3. Review new tables and properties in the Data Catalog.
  4. Create a transformation in Data Studio or add fields to Customer 360.
  5. Sync the output to a destination.

Review and approve AI recommendations

  1. Open Actions and configure cadence and domains.
  2. Review the pending queue when new recommendations arrive.
  3. Approve to trigger the recommended action, or dismiss to skip.
  4. Track outcomes in Memory and Tasks.

Connect an AI tool via MCP

  1. Open Workspace Settings → MCP (from the avatar menu, top right) in Vendo and copy the JSON config.
  2. Add it to your MCP client (Cursor, Claude Code, etc.).
  3. Use tools for sources, transformations, tasks, documents, and metrics.
  4. See the MCP Server docs for endpoint details and security guidance.

Account Management

Developer Tools

  • API Overview — programmatic access to Vendo resources
  • CLI — command line workflows
  • MCP Server — connect Vendo to AI tools
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