Two-way sync
Changes in Full Enrich or Jira instantly reflect in both systems. No stale data, no manual imports.
Keep Full Enrich 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.
Full Enrich 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 Emails, Phone numbers, Credits, Enrichment requests in Full Enrich 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.
People and accounts in Full Enrich stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.
Open items, throughput, and error counts from Full Enrich replicate into Jira, so the operational view reflects what is actually happening in the business.
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.
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.
| Full Enrich objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Credits Account balance consumed on successful finds; monitored to pace sync jobs. | Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Credits is specific to Full Enrich and Components to Jira — each maps to any object or custom field on the other side. | |
| Enrichment requests Submitted batches of contacts to enrich; processed asynchronously by the waterfall. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Enrichment requests is specific to Full Enrich and Users to Jira — each maps to any object or custom field on the other side. | |
| Contacts The person inputs (name plus company or domain) sent for enrichment. | 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. | Contacts is specific to Full Enrich and Issues to Jira — each maps to any object or custom field on the other side. | |
| Enrichment results Completed records fetched by request ID or delivered via webhook. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Enrichment results is specific to Full Enrich and Projects to Jira — each maps to any object or custom field on the other side. | |
| Emails Returned addresses with verification status, written back to the CRM or database. | Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Emails is specific to Full Enrich and Comments to Jira — each maps to any object or custom field on the other side. | |
| Phone numbers Returned mobile and direct-dial numbers from the provider waterfall. | Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Phone numbers is specific to Full Enrich and Worklogs to Jira — each maps to any object or custom field on the other side. |
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.
DetectionFull Enrich notifies Stacksync of record changes through webhook events. Webhook callbacks when enrichment batches complete, with polling of result endpoints as a fallback.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
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 Full Enrich through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Full Enrich–Jira connection.
Changes in Full Enrich or Jira instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Full Enrich or Jira data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Full Enrich or Jira record.
Track your Full Enrich ⇄ Jira sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Full Enrich and Jira.
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.
Authenticate Full Enrich 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.
Pick the Full Enrich 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Full Enrich and Jira: authenticate both systems, choose the objects to sync (such as Full Enrich's Credits and Enrichment requests), map fields visually, and changes propagate both ways in milliseconds — no code required.
Full Enrich: Credits are consumed on successful finds, so integration logic should distinguish found, not-found, and in-progress outcomes when writing back. Jira: Dynamic webhooks created via REST expire after 30 days and must be refreshed, and OAuth 2.0 apps are capped at 5 webhooks per user per tenant. Stacksync's field mapping accounts for these differences between Full Enrich and Jira without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Full Enrich and Jira records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Full Enrich and Jira connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Full Enrich–Jira integration in-house.
Yes — Stacksync ships production-grade connectors for both Full Enrich and Jira. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Full Enrich: Webhook callbacks when enrichment batches complete, with polling of result endpoints as a fallback. On Jira: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 265 integrations available for Full Enrich and Jira.