Overview
What is Wrike: Wrike is an AI-powered enterprise work management platform for marketing, product, PMO, operations, and creative project teams. It manages project planning, task hierarchy, Gantt charts, resource management, proofing, reports, folders, projects, tasks, custom fields, workflows, and time logs.
How to integrate Wrike with Datagrid
The Wrike connector lets Datagrid agents sync structured project data and act on it across connected systems. Configure access and authentication first, then define how agents detect and process changes.
Add the Wrike connector
Follow these setup steps inside Datagrid before agents begin reading or writing Wrike records.
In Datagrid, open Integrations and select Add integration.
Choose Wrike from the connector list.
Authenticate with your Wrike account through OAuth 2.0.
Select the correct data center base URL for your account, either USA or EU.
Confirm the folders, spaces, or projects the agent can access.
After you scope access, configure the authorization method and token behavior.
Why use Wrike with Datagrid
Connecting Wrike to Datagrid turns project records into work that agents can complete across your operating stack.
Two-way task sync: Datagrid agents read and write tasks, folders, and projects through Wrike's REST API v4. This keeps records current across systems without double entry.
Webhook-driven updates: Agents react to task and project events in real time using Wrike webhooks, so a status change triggers downstream action immediately.
Automated reporting: Agents assemble completion rates and time-tracking data into reports for project teams. Reports can include milestone statuses.
Project-file processing: Agents classify RFIs, submittals, specs, schedules, and reports, extract fields, and write structured results back into the matching Wrike task or project.
What you can build with Wrike Datagrid integration
Use Wrike data as the starting point for AI agents that extract, report, classify, and coordinate work across systems. Start with these workflows:
Automated task and project data extraction: Build an agent that pulls structured task data, custom field values, and milestone statuses from Wrike into AI workflows. The agent reads project records through the API and feeds them into downstream processing without manual export.
Reporting and analytics pipelines: Build an agent that reads task completion rates and time logs, then compiles a status report across Wrike and other tools. Datagrid agents compile one report from multiple sources.
RFI, submittal, and spec classification: Build an agent that ingests incoming project files, extracts structured fields, and writes results back into the corresponding Wrike task. Datagrid agents process project files and cross-reference specifications for review.
Event-triggered multi-system orchestration: Build an agent that listens for a Wrike task status change and coordinates actions across CRM, finance, and communication tools. Datagrid agents turn prompts into completed end-to-end workflows across systems.
Wrike remains the project system of record. Datagrid agents complete the repeatable work that starts from those records and spans reporting, project files, CRM, finance, and communication tools.
Resources and documentation
Wrike API v4 overview covers request methods, authentication headers, and the
methodparameter for limited clients.Wrike OAuth 2.0 authorization covers the authorization code flow, token refresh parameters, and data center base URLs.
Wrike API reference v4 provides the full endpoint reference with in-browser testing and the OpenAPI schema.
Wrike webhooks documentation covers event types, filtering parameters, and customizable payload fields.
Wrike developer FAQ covers object operations, pagination defaults, and change-detection guidance.
Frequently asked questions
What authentication does the Wrike connector use?
Wrike uses OAuth 2.0 with the authorization code flow for production. Wrike marks the Permanent Access Token as legacy authentication for single-user and fully automated workflows.
Which Wrike data objects can Datagrid agents sync?
Agents can perform full CRUD on core objects. The Wrike FAQ states that for basic Wrike items such as folders, tasks, comments, and time logs, you can create, edit, delete, and change individual properties. Additional syncable objects through REST include attachments, approvals, dependencies, timesheets, workflows, spaces, and custom item types.
How should the connector detect changes in Wrike?
Use webhooks rather than polling. Agents receive task and project events and run the downstream workflow tied to that event.
Similar integrations
Asana: Teams often consider Asana alongside Wrike for migration, cross-tool reporting, and consolidated task and project data.
Jira: Jira is a developer-focused issue and project tracker that teams commonly sync with Wrike for engineering-project alignment and two-way task synchronization.
Monday: Monday is a cloud work management platform comparable to Wrike for automations, templates, and cross-platform reporting across business teams.
Smartsheet: Teams often pair Smartsheet with Wrike for sheet-based planning, reporting exports, and centralized project analytics.
Slack: Teams frequently integrate Slack with Wrike to create tasks, send notifications, and sync conversations with work items.
Microsoft Teams: Teams connect Microsoft Teams to Wrike for channel-based task creation, Gantt views, and status updates in conversations.