Authenticate requests using the provided API credentials and scoped access (readonly by default). Secure your tokens and rotate them regularly.
Toky uses token-based authorization to access the GHL Contacts API. Ensure the correct scopes are granted and store tokens securely.
Key endpoints include: GET /contacts/:contactId, GET /contacts/:contactId/tasks, GET /contacts/:contactId/tasks/:taskId, GET /contacts/:contactId/notes, GET /contacts/:contactId/notes/:id, GET /contacts/:contactId/appointments, GET /contacts/, GET /contacts/business/:businessId, POST /contacts/, PUT /contacts/:contactId, DELETE /contacts/:contactId, POST /contacts/:contactId/tasks, PUT /contacts/:contactId/tasks/:taskId, PUT /contacts/:contactId/tasks/:taskId/completed, DELETE /contacts/:contactId/tasks/:taskId, POST /contacts/:contactId/tags
Trigger: when a new contact is added in Toky, create or update the contact in GHL.
Actions: upsert contact records, map fields like name, email, phone, and synchronize tags.
POST /contacts/
Key fields: contactId, name, email, phone, tags.
Trigger: when a task is created or updated in Toky, reflect the change in GHL.
Actions: create/update tasks, set status, due dates, and assignees.
PUT /contacts/:contactId/tasks/:taskId
Key fields: contactId, taskId, status, dueDate.
Trigger: new notes or appointments in Toky create or update records in GHL.
Actions: create notes, schedule appointments, link notes to contacts.
POST /contacts/:contactId/notes
Key fields: contactId, noteId, appointmentId.
Zero-code integration lets you automate workflows without writing scripts.
Unified contact data between Toky and GHL reduces duplicates and ensures consistency.
Powerful automations: trigger tasks, notes, and updates automatically on events.
This glossary covers core elements: endpoints, triggers, actions, fields, and data mappings used to connect Toky with GHL.
Application Programming Interface: a set of rules that lets Toky and GHL talk to each other.
A specific URL path in the API that performs a function, such as creating a contact or fetching tasks.
An event that starts an automation, such as a new contact or updated task.
A sequence of actions executed automatically in response to a trigger.
Automatically mirror new GHL contacts into Toky to keep both systems in sync.
When Toky assigns tasks, create corresponding tasks in GHL and keep due dates aligned.
Propagate important notes from Toky into GHL as notes linked to contacts.
Register your Toky app to obtain API credentials and set the required scopes.
Define field mappings between Toky and GHL and configure endpoint usage.
Create workflows that trigger on Toky events to update GHL data.
The Contacts API provides programmatic access to your Toky contacts and related data through a standard API. Using it with Toky lets you automate creation, updates, and synchronization with GHL without manual data entry. This keeps contact records consistent across systems and speeds up workflows.
No coding is required for many integrations thanks to no-code tools and prebuilt triggers. If you do write code, you can customize mappings and error handling. Start with templates and expand as you grow.
Essential endpoints include creating and updating contacts, fetching tasks, and linking notes and appointments. For a basic setup, focus on POST /contacts/ and PUT /contacts/:contactId/tasks/:taskId, along with GET /contacts/:contactId and POST /contacts/:contactId/notes.
Connections use token-based authentication over HTTPS, with scopes that limit access. Rotate tokens regularly and store them securely. Monitor activity and set up alerts for unusual requests.
Yes. You can map standard and custom fields between Toky and GHL. Define field mappings in your automation so that name, email, phone, and tags align correctly across systems.
Test in a sandbox or with a limited dataset. Use sample records to verify triggers, actions, and error handling. Validate data mappings before going live.
Rate limits depend on your plan. If you hit limits, implement retries with exponential backoff and monitor usage in the dashboard. Debug logs help identify bottlenecks quickly.
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