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Ticketing

Pivotal Tracker
API integration

Ship Ticketing features without building the integration. Full Pivotal Tracker API access via Proxy, normalized data through Unified APIs — extend models and mappings to fit your product.

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Pivotal Tracker

Use Cases

Why integrate with Pivotal Tracker

Common scenarios for SaaS companies building Pivotal Tracker integrations for their customers.

01

One-click migration from Pivotal Tracker to your platform

Project management tools can offer displaced Pivotal Tracker users a seamless migration path by pulling their entire historical backlog — stories, epics, labels, attachments, and comments — through Truto's Unified Ticketing API, reducing onboarding friction and accelerating customer acquisition.

02

Preserve multi-year engineering velocity metrics across tool transitions

Engineering analytics platforms can ingest historical tickets, story point estimates, and iteration data from Pivotal Tracker and merge it with data from a customer's new ticketing tool, ensuring continuous long-term performance reporting without a data gap during migration.

03

Compliance-grade archival of legacy development records

Backup and compliance SaaS products can pull a complete, read-only snapshot of all users, tickets, comments, attachments, and workspace structures from Pivotal Tracker before API access is fully decommissioned, helping enterprise customers satisfy SOC 2 and ISO audit requirements for historical software releases.

04

Backfill support ticket history with engineering context

Customer support platforms that previously integrated with Pivotal Tracker can use Truto to extract the full lifecycle of escalated bugs — including comments, status transitions, and linked attachments — so support teams retain complete resolution context in their own system.

What You Can Build

Ship these features with Truto + Pivotal Tracker

Concrete product features your team can ship faster by leveraging Truto’s Pivotal Tracker integration instead of building from scratch.

01

Full backlog import with type-aware mapping

Automatically pull all Pivotal Tracker stories and map Features, Bugs, Chores, and Releases to your platform's native ticket types using the Unified Ticketing API's Ticket Types resource.

02

Epic and iteration reconstruction

Reconstruct Pivotal Tracker's Epics and Iterations as Collections in your product so migrated users retain their project's grouping and sprint structure.

03

Historical comment and attachment archival

Download every comment thread, screenshot, and linked file from Pivotal Tracker stories to build a searchable, immutable archive of engineering decision history.

04

User and role re-mapping for team onboarding

Pull all workspace members, their roles (Owner, Member, Viewer), and account associations via the Unified User Directory API to pre-provision teams and preserve assignee context during migration.

05

Label-based release group extraction

Import Pivotal Tracker Labels as Tags to reconstruct release groupings, feature flags, and custom categorizations that teams relied on for filtering and reporting.

06

Story-level task checklist sync

Pull the nested checklist items (Tasks) within each Pivotal Tracker story so granular sub-work is preserved and can be mapped to your product's subtask model.

Unified APIs

Unified APIs for Pivotal Tracker

Skip writing code for every integration. Use Truto’s category-specific Unified APIs out of the box or customize the mappings with AI.

Unified User Directory API

Roles

The Role object represents a role of a User.

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Users

The User object represents a User.

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Workspaces

Workspaces represent concepts like teams, workspaces, projects in apps that support them

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Unified Ticketing API

Accounts

Accounts represent the companies or organizations that you are in contact with. Accounts have one or more Contacts associated with them.

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Attachments

Attachments are the files associated with a ticket or a comment.

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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.

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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.

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Tags

Tags represent a common classification approach used in various ticketing systems. A Ticket may have one or more Tags associated with them.

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Tasks

Task represent a smaller subdivision of a Ticket, which could be the list of things to do in a Ticket.

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Ticket Priorities

Ticket Priorities represent the intended order in which the Tickets should be worked on. Some products provide customizing the Ticket Priorities.

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Ticket Types

Ticket Types represent the classification system used by the underlying products for Tickets. Some examples are bugs, feature, incident, etc.

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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.

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Users

Users represent the people using the underlying ticketing system. They are usually called agents, team members, admins, etc.

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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.

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How It Works

From zero to integrated

Go live with Pivotal Tracker in under an hour. No boilerplate, no maintenance burden.

01

Link your customer’s Pivotal Tracker account

Use Truto’s frontend SDK to connect your customer’s Pivotal Tracker account. We handle all OAuth and API key flows — you don’t need to create the OAuth app.

02

We handle authentication

Don’t spend time refreshing access tokens or figuring out secure storage. We handle it and inject credentials into every API request.

03

Call our API, we call Pivotal Tracker

Truto’s Proxy API is a 1-to-1 mapping of the Pivotal Tracker API. You call us, we call Pivotal Tracker, and pass the response back in the same cycle.

04

Unified response format

Every response follows a single format across all integrations. We translate Pivotal Tracker’s pagination into unified cursor-based pagination. Data is always in the result attribute.

FAQs

Common questions about Pivotal Tracker on Truto

Authentication, rate limits, data freshness, and everything else you need to know before you integrate.

How do users authenticate their Pivotal Tracker account through Truto?

Pivotal Tracker uses API token-based authentication. End users generate a personal API token from their Pivotal Tracker profile settings, and Truto securely stores and manages that token for all subsequent API calls.

Is this integration read-only or does it support writes?

Given that Pivotal Tracker was sunset on April 30, 2025, the primary use cases are data extraction, migration, and archival. Truto's integration focuses on reading data reliably across all supported Unified API resources. Specific write capabilities depend on whether Pivotal Tracker's API remains accessible and can be discussed on request.

How does Truto handle pagination for large Pivotal Tracker projects with years of data?

Truto abstracts Pivotal Tracker's offset-and-limit pagination so your application receives a consistent, auto-paginated response. This ensures complete extraction of large datasets — tens of thousands of stories, comments, and attachments — without dropped records.

How are Pivotal Tracker's strict story types (Feature, Bug, Chore, Release) represented?

They map to the Ticket Types resource in Truto's Unified Ticketing API. Each ticket returned includes its original type designation, so your application can apply type-aware logic during migration or reporting.

What happens to story point estimates and backlog priority?

Story point estimates and backlog rank are accessible through the Ticket Priorities resource in the Unified Ticketing API, allowing your product to preserve estimation data and prioritization order from the original Pivotal Tracker project.

Are Pivotal Tracker tools available out of the box or built on request?

Pivotal Tracker tools are built on request. Once you indicate interest, Truto's team configures the integration against the Unified Ticketing and Unified User Directory APIs, covering Tickets, Collections, Tags, Tasks, Comments, Attachments, Users, Workspaces, and more.

Pivotal Tracker

Get Pivotal Tracker integrated into your app

Our team understands what it takes to make a Pivotal Tracker integration successful. A short, crisp 30 minute call with folks who understand the problem.

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