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Monday to Namely integration — real-time, two-way sync

Keep Monday and Namely 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 Monday and Namely

Keep the people, teams, and status that Monday and Namely share aligned in real time, so a hire, role change, or departure recorded in one reaches the other within seconds.

Each tool in Monday keeps its own list of who can use it: users, members, or agents, along with the team they sit on and whether they are still active. Namely is the authoritative record of the same people as employees, with their department, manager, and employment status. When those two are connected only by manual account admin or a periodic export, the work tools drift: new hires wait days for access, team and manager changes never catch up, and people who have left keep standing accounts.

Stacksync syncs Boards, Items, Subitems, Column values in Monday with Profiles, Job Titles, Job Tiers, Groups in Namely bi-directionally and in real time. A person added, moved, or offboarded in Namely creates or updates the matching user in Monday within seconds, with field-level mapping and conflict resolution in place of spreadsheets and one-off account changes. Where Monday captures details of its own, such as a corrected contact or a login identity, those can flow back to Namely in whichever direction you configure.

Because the sync is field-level, each system keeps its own extras; only the shared facts, who a person is, which team they belong to, and whether their access should be on, are held in agreement.

Common use cases

  • 01 Write closed deals or provisioning records from a CRM or ERP into monday.com Items to kick off delivery and onboarding boards.
  • 02 Mirror monday.com Boards, Groups, and Subitems into a warehouse for cross-project reporting on status and timelines without CSV exports.
  • 03 Provision or deprovision accounts in an IdP or directory when a Profile's user_status or start_date changes, and write the resulting user ID and email back onto the Profile.
  • 04 Map Job Titles and Job Tiers into a warehouse dimension table so leveling and seniority stay consistent across HR, finance, and BI reporting.

Common sync patterns

One employee directory

A person's name, title, contact details, or status corrected in either system updates the other, so both sides stop maintaining separate copies of the same person.

Org and team structure kept current

Department, team, and reporting-line changes from Namely keep the groups, queues, or projects in Monday assigned to the right people.

Where Monday routes or assigns work by person: assignments follow the org

When someone changes teams or managers in Namely, the queues, ownership, or approvals in Monday update to match, so work reaches whoever holds the role now.

What you can sync between Monday and Namely

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.

Monday objects Namely objects How this pairing syncs
Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Profile Fields Metadata describing standard and company-defined custom field sections; read to discover schema and generate mappings. Column values is specific to Monday and Profile Fields to Namely — each maps to any object or custom field on the other side.
Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. Updates is specific to Monday and Events to Namely — each maps to any object or custom field on the other side.
Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. Users is specific to Monday and Profiles to Namely — each maps to any object or custom field on the other side.
Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. Workspaces is specific to Monday and Job Titles to Namely — each maps to any object or custom field on the other side.
Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. Boards is specific to Monday and Job Tiers to Namely — each maps to any object or custom field on the other side.

How changes propagate between Monday and Namely

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.

Monday Namely Sub-second propagation

DetectionMonday notifies Stacksync of record changes through webhook events. Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events.

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

Namely Monday Interval-based propagation

DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.

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

Rate-limit considerations

  • Monday: Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window.
  • Namely: Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
What ships with Monday ⇄ Namely

Connect Monday and Namely for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Monday or Namely instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Monday or Namely 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 Monday or Namely record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Monday and Namely.

How the Monday and Namely connectors work

Monday

Integration surface
GraphQL API (single endpoint, api.monday.com/v2)
Authentication
OAuth 2.0 for installed apps, or a per-user personal API token (admin/member scope); a date-based API version is sent via request header
Change detection
Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events; polling falls back to the item updated_at field
Capabilities
read · write · webhooks
Rate limits
Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window
Monday setup guide

Namely

Integration surface
REST API (JSON over HTTPS)
Authentication
OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1
Change detection
No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes
Capabilities
read · write
Rate limits
Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
How it works

How to connect Monday to Namely — 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 Monday and Namely 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
    Monday connected
    Namely connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Monday and Namely 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 · Monday ⇄ Namely
    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
    Monday Namely
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Monday and Namely 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.

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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 408 integrations available for Monday and Namely.

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