Toggl Track is a time tracking platform for recording work, managing projects and workspaces, producing reports, and configuring webhooks.
Apply the same description and/or billable state to 1 to 100 Toggl Track time entries in one provider-native request. Updates are non-atomic: Toggl Track performs no transaction or rollback, so some IDs can succeed while others fail; always inspect the returned per-ID success and failure lists.
Create a client in a workspace for grouping projects.
Create a project in a workspace for organizing time entries and tasks.
Create a task under an active project for more specific time-entry assignment.
Create a running or completed time entry in a workspace; omit duration and stop to start a running timer. Supplying tag names may also create tags that do not yet exist.
Permanently delete one client from a Toggl Track workspace.
Delete one project while preserving its time entries by unassigning them from the project.
Permanently delete one task from its parent project.
Permanently delete one time entry from a workspace.
Return the currently running time entry for the connected user, or indicate that no timer is running.
Return the connected Toggl Track user's identity and defaults, including the default workspace ID, without exposing credentials.
Get one time entry by ID, with optional related-entity and sharing metadata.
List the connected user's time entries in an explicit date range, optionally including related project, task, user, and sharing metadata.
Find projects, clients, tags, or tasks in a workspace and return their IDs for time-entry and resource-management tools.
List workspaces accessible to the connected user and return the IDs needed by workspace-scoped tools, without exposing private tokens or calendar URLs.
Return one page of detailed, grouped time-entry report rows for a workspace and date range, with an opaque cursor for the next page.
Stop a currently running time entry and return its finalized timing data.
Update a client's name, notes, or external reference. Toggl Track requires the client's name on every update, even when it is unchanged.
Update a project's name, client, active state, privacy, color, or date range.
Update a task's name, completion state, estimate, assignee, or external reference.
Update the timing, description, assignment, billable state, or tags of an existing time entry. Provide at least one change; changing tags requires tag_action together with tags or tag_ids. Tag effects are verified against the returned time entry so an ignored update is reported as a failure.
The Toggl Track integration connects your Dench AI CRM directly to Toggl Track, so agents can read and act on your Toggl Track data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
21 actions are available for agents to invoke on your behalf. Every call runs through Toggl Track's own authorization, scoped to the account you connect.
Sign in to your Dench workspace and open Integrations.
Find Toggl Track and click Connect — you'll authorize access through Toggl Track's own sign-in flow. No API keys or code required.
Ask an agent to use Toggl Track in chat, or call it from an automation.
Manage or disconnect the connection any time from workspace settings.
The Dench Toggl Track integration connects your AI CRM to Toggl Track, so AI agents can work with your Toggl Track 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 Toggl Track integration currently exposes 21 actions, including Bulk Update Time Entries, Create Client, Create Project, Create Task, Create Time Entry, and Delete Client. Agents invoke them on your behalf from chat or from automations.
No. You connect Toggl Track from your Dench workspace using Toggl Track's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Connections are authorized through Toggl Track's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Toggl Track connection from your workspace settings at any time.