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Business productivity ⇄ Human resources

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

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

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect Gatekeeper and Lever

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

Each tool in Gatekeeper 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. Lever 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 Contracts, Vendors (Suppliers), Files, Workflow form data in Gatekeeper with Opportunities, Postings, Requisitions, Offers in Lever bi-directionally and in real time. A person added, moved, or offboarded in Lever creates or updates the matching user in Gatekeeper within seconds, with field-level mapping and conflict resolution in place of spreadsheets and one-off account changes. Where Gatekeeper captures details of its own, such as a corrected contact or a login identity, those can flow back to Lever 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 Push generated documents into Gatekeeper Files, or pull executed contract PDFs and compliance evidence out into a document store or archive.
  • 02 Stream workflow-form data - intake requests, vendor onboarding, risk assessments - into an operational database for cycle-time and compliance reporting.
  • 03 Push Postings and Requisitions into an HRIS or warehouse to reconcile approved headcount against open roles.
  • 04 When an Opportunity is marked hired, write the candidate and its Offer into an HRIS or onboarding system to start employee provisioning.

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 Lever keep the groups, queues, or projects in Gatekeeper assigned to the right people.

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

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

What you can sync between Gatekeeper and Lever

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 Lever 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 Lever team members (recruiters, hiring managers) with configurable roles; can be created via POST /users, deactivated, and reactivated through the API. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Files Document files attached to contracts and vendors - executed PDFs, certificates, and compliance evidence; read to pull signed files and evidence out, or written to push generated documents in. Requisitions Headcount/requisition records with custom requisition fields, tied to Postings; read via GET /requisitions and synced to an HRIS to reconcile approved headcount against open roles. Files is specific to Gatekeeper and Requisitions to Lever — each maps to any object or custom field on the other side.
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. Offers Offer records attached to an Opportunity with status and offer-form fields; exposed read-only through GET /opportunities/:id/offers, so they sync outbound to an HRIS or onboarding system when a candidate reaches the offer stage. Workflow form data is specific to Gatekeeper and Offers to Lever — 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. Stages Pipeline stage definitions that Opportunities move through; read to model funnel state and stage transitions in a database. Custom data groups is specific to Gatekeeper and Stages to Lever — 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. Feedback Interview feedback and scorecard forms attached to Opportunities; created via POST /opportunities/:id/feedback and consolidated into a warehouse for interviewer analytics. Categories is specific to Gatekeeper and Feedback to Lever — 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. Interviews Scheduled interview panel events with times and interviewers; read for scheduling reporting and time-to-hire metrics, and creatable via the panels endpoint. Contracts is specific to Gatekeeper and Interviews to Lever — each maps to any object or custom field on the other side.

How changes propagate between Gatekeeper and Lever

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 Lever 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 Lever through its API, with automatic retries and rate-limit backoff.

Lever Gatekeeper Sub-second propagation

DetectionLever notifies Stacksync of record changes through webhook events. Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired,.

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.
  • Lever: 10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
What ships with Gatekeeper ⇄ Lever

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gatekeeper or Lever 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 Lever record.

Observability

Monitoring

Track your Gatekeeper ⇄ Lever 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 Lever.

How the Gatekeeper and Lever 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.

Lever

Integration surface
REST Data API (api.lever.co/v1)
Authentication
API key over HTTP Basic auth (key as username, blank password) for internal integrations, or OAuth 2.0 with 1-hour access tokens for partner integrations (auth.lever.co)
Change detection
Webhooks for candidate and application lifecycle events (applicationCreated, candidateStageChange, candidateArchiveStateChange, candidateHired, interview created/updated/deleted), plus incremental polling via created_at and updated_at range filters on Opportunities
Capabilities
read · write · webhooks
Rate limits
10 requests/second per API key with a token-bucket burst to ~20/s; POSTs that create candidates/applications are throttled to roughly 2/second. Sustained overage returns 429 with Retry-After. List endpoints are cursor-paginated at up to 100 records per page.
Lever setup guide
How it works

How to connect Gatekeeper to Lever — 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 Lever 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
    Lever connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gatekeeper and Lever 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 ⇄ Lever
    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 Lever
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Gatekeeper and Lever 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 407 integrations available for Gatekeeper and Lever.

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