FaceUp is an anonymous reporting tool designed for companies and schools, enabling employees and students to safely report issues and misconduct.
Execute GraphQL queries against the FaceUp statistics endpoint. Retrieves whistleblowing statistics with filtering by report criteria. Requires filter (ReportFilterInput), isPartnerAdministration, onlyAccessibleReports, and motherIds parameters. Returns both data and errors from the GraphQL API for flexible error handling.
The Faceup integration connects your Dench AI workspace directly to Faceup, so agents can read and act on your Faceup data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
1 action is available for agents to invoke on your behalf. Every call runs through Faceup's own authorization, scoped to the account you connect.
Sign in to your Dench workspace and open Integrations.
Find Faceup and click Connect — you'll authorize access through Faceup's own sign-in flow. No API keys or code required.
Ask an agent to use Faceup in chat, or call it from an automation.
Manage or disconnect the connection any time from workspace settings.
The Dench Faceup integration connects your AI workspace to Faceup, so AI agents can work with your Faceup data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
The Faceup integration currently exposes 1 action, including FaceUp GraphQL Statistics Query. Agents invoke them on your behalf from chat or from automations.
No. You connect Faceup from your Dench workspace using Faceup's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Connections are authorized through Faceup's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Faceup connection from your workspace settings at any time.