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CRM · Two-way sync platform

Attio connector for two-way sync.

Keep Attio and your business systems aligned with Stacksync. Sync Companies, People and Deals within the connector’s object and field requirements, with two-way sync for eligible records.

  • Configure field mappings and sync direction
  • Inspect and resolve record errors in one dashboard

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

Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Record types

Attio objects and coverage.

Start with the records your workflow needs. Object-specific permissions and operation limits are shown alongside the available coverage.

People
Supported
Companies
Supported
Users
Supported
Deals
Supported
View all 6 object types and restrictions
Workspaces
Supported
Custom objects (all)
Supported

Read the Attio object and setup guide

Connection setup

Attio connection requirements.

Check the account access and change-detection requirements for your environment. Your system administrator can help confirm permissions before the first sync.

Connection method
REST API
Account access
Guided authorization in the Stacksync connection flow; the guide does not name the authentication protocol.
How changes are detected
The Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.

Sync directions

  • Read data Documented
  • Write data Documented
AttioStacksync setup guide
Setup prerequisites for your administrator
  • Create an Attio connection in Stacksync and complete the guided authorization flow.
  • Check that the required objects appear in the documented catalog; confirm write-back for each intended object.

Documentation checked September 15, 2026.

Setup guides and technical references

Integration design

Match records and fields for your Attio integration.

Choose the owner of customer details, qualification, and commercial status separately. A customer update, a won deal, and an approved order represent different business decisions.

Use your account’s actual field names when applying these matching and dependency checks.

Explore record matching and field-mapping checks
AttioSource record IDKeep the account and record type
Record matchingSource ID ↔ destination IDLink the same record across systems
Selected destinationDestination record IDPreserve its local key and rules
Conceptual identity model. Keep source and destination IDs linked so an update reaches the right record. Confirm the supported sync direction separately.
Match the same record in both systems
Retain a stable Attio record identifier and its object type. Do not merge People, Companies, or Users simply because an email or label looks similar.
Load related records in the right order
Identify the Company and People references required by a Deal before loading related records. Specify custom-object relationships individually.

Mapping checks by record type

Companies

✅ Supported

Identity
Retain the source company ID and the destination customer/company ID. Separate legal entities, subsidiaries, and business units; a shared name or web domain is insufficient.
Fields to consider
Source record ID · Legal or display name · Business-unit reference · Lifecycle status
Related records to resolve first
Resolve parent organizations, business units, and currency references before dependent transactions.
Test before going live
Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.

People

✅ Supported

Identity
Use a stable person/contact ID and an explicit cross-system lookup. Email can change and can be shared, so treat it as a matching clue rather than a universal key.
Fields to consider
Source person ID · Display name · Email address · Organization reference · Consent state
Related records to resolve first
Resolve the organization relationship and any owner or consent references required by the destination.
Test before going live
Test an email change, two records sharing an email, and a person associated with multiple organizations.

Deals

✅ Supported

Identity
Keep the opportunity/deal ID separate from any later order or invoice ID.
Fields to consider
Source deal ID · Stage · Amount and currency · Expected close date · Company reference
Related records to resolve first
Map the customer and sales pipeline before the opportunity; map stage values deliberately.
Test before going live
Test a reopened won deal, a stage with no destination equivalent, and an amount using a different currency.

Users

✅ Supported

Identity
Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact.
Fields to consider
Source user ID · Tenant reference · Account status · Group references
Related records to resolve first
Resolve tenant and group references and establish a protected administrative-account policy.
Test before going live
Test a renamed login, disabled account, missing group, and a user existing in two tenants.

Download the field-mapping workbook (CSV) to capture the actual API fields, matching keys, owners, and test results. Use it as you build with your team or a Stacksync engineer.

Setup and validation

Validate the Attio integration in four steps.

A changed contact detail updates the existing person; a sales-state change reaches only the downstream process approved to act on it.

View the four setup tests and expected results
  1. Confirm the intended Attio account and grant

    Use the documented setup with the intended account and environment. Check that the authorizing user can grant access to the selected objects; test reauthorization without changing the mapped record identity.

    Expected result: The connection reaches the intended account, and the integration owner can renew or revoke the grant through the agreed procedure.

  2. Validate one linked commercial record

    Select one Deal with its related records. Confirm the intended writable fields and observe an update in each permitted direction.

    Expected result: The correct records remain linked, and the measured update behavior covers the selected fields rather than assuming every listed field is writable.

  3. Test writes in the directions you need

    Select one eligible Attio object and writable field. Test the required create/update direction, an invalid value, and a repeated delivery. Check object-specific restrictions before enabling the return path.

    Expected result: The selected operation is confirmed, addresses the intended record, and exposes rejected values for repair.

  4. Test recovery and name the support owner

    Interrupt a non-production transfer, restore the connection, and reconcile the selected Attio records. When using Stacksync’s Retry to sync action, check the latest source value: the retry re-reads current source state rather than replaying an immutable historical event.

    Expected result: The records have the expected current values, repeated delivery creates no duplicate business record, and your team knows who handles unresolved errors.

Use the production-readiness checklist to record test results, assign support owners, and agree on when to go live.

Troubleshooting

Troubleshoot your Attio integration.

Diagnose record matching, delayed changes, and rejected operations
A listed object has a field that will not update
Check field permissions and operation support for that object. Connector-level two-way documentation does not specify every writable field or the detection interval.
The first load looks correct but later results differ
The Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects. Measure the original source change, its capture, and the destination observation separately. Confirm whether the affected object is incremental, historical-only, or subject to a special refresh cycle.
One operation succeeds while another is rejected
Check the specific Attio object, field permissions, required references, and allowed operation. A successful read does not establish that a create, update, deletion, or business action is available.

Review retry, replay, and recovery behavior before repeating an operation that may already have succeeded.

Review your Attio workflow with an engineer

FAQ

Attio connector FAQ

How should I plan an integration with Attio?

People, Companies, Deals, and custom objects need an explicit record and relationship model. Stacksync supports two-way sync for eligible objects. Start with one workflow, agree on which fields each system owns, then test initial data, later changes, and recovery before expanding.

Can the Attio connector write changes back?

Stacksync supports reads and writes for eligible Attio objects. Check the selected fields, account permissions, and the other system’s connector. Select one Deal with its related records. Confirm the intended writable fields and observe an update in each permitted direction.

Which identifiers should I preserve for Attio data?

Retain a stable Attio record identifier and its object type. Do not merge People, Companies, or Users simply because an email or label looks similar.

Which related records should I load first for Attio?

Identify the Company and People references required by a Deal before loading related records. Specify custom-object relationships individually.

What should I check if Attio data is missing or delayed?

Check field permissions and operation support for that object. Connector-level two-way documentation does not specify every writable field or the detection interval.

What will we cover in a Attio integration demo?

Start with one workflow and a sample record from Companies, People and Deals. We can review how to identify the record, connect related data, set the update direction, and test recovery. Include the person who owns the source system and anyone who will maintain the integration; you do not need a finished requirements document.

Explore Attio connections

Choose the other system in your workflow. Each guide explains the connection options, available operations, field mapping, and setup checks for that pair.

278 integration guides

SECURITY

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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.

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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

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