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Business productivity ⇄ Developer tools

Gatekeeper to Jira integration — real-time, two-way sync

Keep Gatekeeper and Jira in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Gatekeeper and Jira

Connect the tickets, records, and events in Gatekeeper to the systems engineering runs in Jira, kept current in real time and in both directions.

Gatekeeper is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jira is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.

Stacksync syncs Contracts, Vendors (Suppliers), Files, Workflow form data in Gatekeeper with Components, Users, Issues, Projects in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.

Common use cases

  • 01 Stream workflow-form data - intake requests, vendor onboarding, risk assessments - into an operational database for cycle-time and compliance reporting.
  • 02 Write contract or vendor records into Gatekeeper when a deal closes in the CRM to kick off downstream procurement and legal workflows.
  • 03 Load Issues, Worklogs, and status transitions into a warehouse for cycle-time, throughput, and burndown reporting.
  • 04 Sync Sprints and Boards with a capacity-planning tool so estimates and iteration scope stay aligned.

Common sync patterns

Where Jira is the directory or identity source: one set of users

People and accounts in Gatekeeper stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.

Where Jira watches operations: live volumes for visibility

Open items, throughput, and error counts from Gatekeeper replicate into Jira, so the operational view reflects what is actually happening in the business.

One shared record across both systems

Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.

What you can sync between Gatekeeper and Jira

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Gatekeeper objects Jira objects How this pairing syncs
Users Gatekeeper user and team records governed by role-based access; read to map contract and vendor owners, approvers, and internal contacts to CRM or HR records. Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Workflow form data The structured data captured on Gatekeeper workflow forms (intake requests, vendor onboarding, risk assessments); exposed by the API since 2025 so form results sync into an operational database, not only contract and vendor records. Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. Workflow form data is specific to Gatekeeper and Worklogs to Jira — each maps to any object or custom field on the other side.
Custom data groups Customer-configured custom fields and data groups; because the JSON:API and its docs are dynamic, any custom data added in Configuration exposes the same read/write endpoints as the standard objects and syncs the same way. Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. Custom data groups is specific to Gatekeeper and Sprints to Jira — each maps to any object or custom field on the other side.
Categories The classification taxonomy applied to contracts and vendors (type, department, business unit); synced so categorization stays consistent between Gatekeeper and downstream reporting or ERP dimensions. Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. Categories is specific to Gatekeeper and Versions to Jira — each maps to any object or custom field on the other side.
Contracts The core contract records holding value, key dates, renewal terms, status, type, owner, and the linked vendor; created, read, updated, and deleted so contract data moves two-way between Gatekeeper and a database, ERP, or CRM. Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. Contracts is specific to Gatekeeper and Components to Jira — each maps to any object or custom field on the other side.
Vendors (Suppliers) Company records for counterparties and suppliers with onboarding status, compliance, risk, contacts, and spend; read and written to keep vendor master data aligned with a CRM or ERP. Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. Vendors (Suppliers) is specific to Gatekeeper and Issues to Jira — each maps to any object or custom field on the other side.

How changes propagate between Gatekeeper and Jira

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Gatekeeper Jira Interval-based propagation

DetectionStacksync polls Gatekeeper for changes on an incremental schedule, reading only records changed since the previous pass. No native developer webhook subscription API and no database change-data-capture log.

DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.

Jira Gatekeeper Sub-second propagation

DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.

DeliveryEach detected change is written to Gatekeeper through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Gatekeeper: Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.
  • Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
What ships with Gatekeeper ⇄ Jira

Connect Gatekeeper and Jira for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gatekeeper–Jira connection.

Real-time

Two-way sync

Changes in Gatekeeper or Jira instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gatekeeper or Jira data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Gatekeeper or Jira record.

Observability

Monitoring

Track your Gatekeeper ⇄ Jira sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gatekeeper and Jira.

How the Gatekeeper and Jira connectors work

Gatekeeper

Integration surface
RESTful API following the JSON:API specification, tenant-scoped with interactive docs at {tenant}.gatekeeperhq.com/api_docs and a published Postman collection. The API is dynamic: it exposes the standard Contract and Vendor objects plus any custom data groups and workflow-form data configured in the tenant.
Authentication
API keys created and managed under Configuration > API Keys and passed as a token; each key carries granular per-endpoint permissions set to read-only or write, so access is scoped per object. Multiple keys can be issued and revoked independently.
Change detection
No native developer webhook subscription API and no database change-data-capture log; detect changes by polling the JSON:API list endpoints filtered and sorted on updated-at timestamps. Gatekeeper's own event automation - Workflow Engine phase transitions and Interconnect process orchestration - runs inside the platform rather than as a subscribable webhook stream.
Capabilities
read · write
Rate limits
Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.

Jira

Integration surface
REST API v2 and v3 plus the Jira Software (Agile) REST API
Authentication
OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token
Change detection
Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback.
Capabilities
read · write · webhooks
Rate limits
Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
How it works

How to connect Gatekeeper to Jira — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Gatekeeper and Jira with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Gatekeeper connected
    Jira connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gatekeeper and Jira objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Gatekeeper ⇄ Jira
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Gatekeeper Jira
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Gatekeeper and Jira integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 286 integrations available for Gatekeeper and Jira.

Popular · 8 of 286
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