How to use Verity?
The server is a managed service that comes with a Verity account. There is nothing to install or host.
- Add Verity to your assistant as a custom connector or MCP server, with the configuration on this page.
- Sign in with Google, pick the account and workspace, and choose read only or read and write.
- Ask in plain language. The agent picks the tools and shows you what it did.
There are no API keys to create or store. Sign in runs over OAuth. Verity enables MCP, and write access, per account.
Key features of Verity
- Analyse: answers from your semantic layer, with the same definitions your dashboards use
- Dashboards and reports: create, lay out and fill dashboards, and prepare report editions
- Segments and customer profiles: look up fields, count who matches, compare segments and save drafts
- Activation: propose audience syncs to Meta Ads, Google Ads, Brevo, Klaviyo and ActiveCampaign, draft customer journeys, and set up onsite campaigns for Shopify or your own site
- Data sources and models: connect a BigQuery source, review the proposed semantic layer and check what a change would break
- The agent acts as the person who connected it and never more: same workspace, same rights
- Anything with an effect outside Verity returns a review link, and a person approves it in Verity
- Segment and journey numbers come back as counts, never as a list of people
- Your data stays in your own BigQuery, in your own Google Cloud project
Use cases of Verity
- "What was our blended ROAS last month, per channel?"
- "Build a weekly performance dashboard for the board."
- "Find customers who bought twice through paid social and have not ordered in 90 days, and get them ready for Meta Ads."
- "Draft a win back journey for lapsed customers, with a holdout."
- "Which dashboards would break if we change how we calculate net revenue?"
コメント