Unified API
Unified Ticketing API
One standardized interface to read and write issue tracking & support data across every provider. 17 unified resources, 59 supported integrations, zero provider-specific code.
Unified resources
Supported integrations
Real-time, no data storage
Data Model
Ticketing resources
Every resource is normalized across providers. Use the same schema whether your customer is on Accelo or Airtable.
Accounts
Accounts represent the companies or organizations that you are in contact with. Accounts have one or more Contacts associated with them.
Attachments
Attachments are the files associated with a ticket or a comment.
Collections
Tickets and contacts can be grouped into Collections. Collection resource usually maps to the various grouping systems used in the underlying product. Some examples are lists, projects, epics, etc. You can differentiate between these grouping systems using the type attribute of a Collection.
Comments
Comments represent the communication happening on a Ticket, both between a User and a Contact and the internal things like notes, private comments, etc. A Ticket can have one or more Comments.
Contacts
Contact represent the external people you are in contact with. These could be customers, leads, etc. Contacts can be associated with an Account if the underlying product supports it.
Fields
Fields represent the attributes defined for various entities in the underlying product. Depending on the underlying product, custom attributes can be defined by a User on various entities like Ticket, Contact, etc. is_user_defined attribute within Field can be used to differentiate between custom and system defined Fields.
Organizations
Organization represents the company or the entity using the ticketing system. An Organization can have one or more Workspaces and Users.
Tags
Tags represent a common classification approach used in various ticketing systems. A Ticket may have one or more Tags associated with them.
Task Lists
Task Lists represent a collection of Tasks on a Ticket.
Tasks
Task represent a smaller subdivision of a Ticket, which could be the list of things to do in a Ticket.
Teams
Teams represent the grouping system used for Users. These are usually called groups, teams, agent groups, etc. in the underlying products. A User can belong to one or more Teams.
Ticket Priorities
Ticket Priorities represent the intended order in which the Tickets should be worked on. Some products provide customizing the Ticket Priorities.
Ticket Status
Ticket Status represents the completion level of the Ticket. Some products provide customizing the Ticket Status.
Ticket Types
Ticket Types represent the classification system used by the underlying products for Tickets. Some examples are bugs, feature, incident, etc.
Tickets
Core resource which represents some work that needs to be carried out. Tickets are usually mapped to issues, tasks, work items, etc. depending on the underlying product.
Users
Users represent the people using the underlying ticketing system. They are usually called agents, team members, admins, etc.
Workspaces
Workspaces represent the top-level subdivision in a ticketing system. They usually have their own set of settings, tickets, statuses, priorities and users. Some of the usual terminologies used by the products for the top-level subdivision are projects, bases, spaces, workspace, etc. A Workspace could belong to an Organization.
Integrations
59 integrations, one API
Connect to any of these providers through the Unified Ticketing API. Same resources, same schema, same code.
How It Works
From zero to integrated
Go live with the Unified Ticketing API in under an hour. No boilerplate, no maintenance burden.
Connect your customer’s account
Use Truto’s pre-built auth flows to connect any issue tracking & support provider. OAuth, API keys, and custom auth — all handled.
Query the unified API
Read and write data through a single, normalized REST API. Same endpoints, same schema, regardless of the underlying provider.
Customize with JSONata
Need a field the unified model doesn’t cover? Extend the schema with declarative JSONata mappings — no code deploys, no waiting on us.
From the Blog
Ticketing integration guides
Deep dives, architecture guides, and practical tutorials for building issue tracking & support integrations.
What Are Helpdesk Integrations? (2026 Architecture & SaaS Guide)
Helpdesk integrations connect your B2B SaaS product to Zendesk, Freshdesk, Intercom, and more. Learn the architecture, API quirks, and build vs. buy trade-offs.
Connect Zendesk to ChatGPT: Automate Ticket Support & Agent Tasks
Learn how to connect Zendesk to ChatGPT using a managed MCP server. Automate ticket triage, update statuses, and execute support workflows without custom code.
How to Build an AI Product That Auto-Responds to Zendesk and Jira Tickets
Technical guide to building an AI auto-responder for Zendesk and Jira tickets — covering architecture, API quirks, rate limits, and how unified ticketing APIs accelerate shipping.
Connect Jira to ChatGPT: Automate Issue Tracking & Task Updates
Learn how to connect Jira to ChatGPT using a managed Model Context Protocol (MCP) server. Automate ticket triage, issue updates, and IT workflows without building custom API integrations.
What Are Ticketing Integrations? (2026 Architecture & Strategy Guide)
A deep dive into ticketing integrations for B2B SaaS. Architect scalable connections to Zendesk, Jira, and Linear for AI agents and sync workflows.
Connect Zendesk to Claude: Manage Help Center & Tickets via MCP
Learn how to connect Zendesk to Claude using a managed MCP server. Automate ticket triage, update Help Center articles, and manage users without writing integration code.
Unified Ticketing API
Start building with the Unified Ticketing API
59 integrations. 17 unified resources. Zero provider-specific code. Ship issue tracking & support integrations in hours, not months.
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