Two-way sync
Changes in PagerDuty or Quip instantly reflect in both systems. No stale data, no manual imports.
Keep PagerDuty and Quip in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Quip is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. PagerDuty 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 Folders, Messages, Users, Blobs in Quip with Schedules, Escalation Policies, On-Calls, Notes and Log Entries in PagerDuty 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.
A ticket or request raised in Quip opens or updates a matching issue in PagerDuty, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in Quip publish to the queue or topic in PagerDuty as they happen, so downstream services react to real events rather than polling for them.
People and accounts in Quip stay matched to the users in PagerDuty, so access, provisioning, and org changes propagate instead of being keyed in twice.
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.
| PagerDuty objects | Quip objects | How this pairing syncs | |
|---|---|---|---|
| Users Responders with contact methods and notification rules; provisioned and updated two-way to keep the on-call roster aligned with an HRIS or identity provider. | Users Member records read individually or via contacts; get_authenticated_user identifies the token owner. Used read-only for directory-style syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Notes and Log Entries Notes are writable to append context to an incident; log entries are a read-only record of every action taken on that incident. | Folders Private, Shared, and Group containers that organize threads; membership is added or removed via the folders endpoints for access control. | Notes and Log Entries is specific to PagerDuty and Folders to Quip — each maps to any object or custom field on the other side. | |
| Incidents Core records with status of triggered, acknowledged, or resolved plus urgency and assignments; created, updated, and resolved two-way, with V3 webhooks firing on each transition. | Messages Comments and chat posts on a thread; the most recent are read with get_messages and new ones written with new_message. | Incidents is specific to PagerDuty and Messages to Quip — each maps to any object or custom field on the other side. | |
| Services Technical services that group incidents and hold integration keys; read and written two-way, with service.created, service.updated, and service.deleted webhook events. | Blobs Images and file attachments stored per thread; downloaded with get_blob and uploaded with put_blob against a specific thread ID. | Services is specific to PagerDuty and Blobs to Quip — each maps to any object or custom field on the other side. | |
| Teams Groupings of users, services, and escalation policies; synced two-way so membership mirrors org structure from an IdP or HRIS. | Documents Editable rich-text threads addressed by ID; created and updated over REST via HTML or Markdown sections, with an updated_usec timestamp used to detect edits. | Teams is specific to PagerDuty and Documents to Quip — each maps to any object or custom field on the other side. | |
| Schedules On-call rotations built from layers and overrides; read and written so calendar or workforce tools can drive who is on call. | Spreadsheets Live-spreadsheet threads; rows and cells are read and written through add_to_spreadsheet and update_spreadsheet_row helpers on the same thread endpoints. | Schedules is specific to PagerDuty and Spreadsheets to Quip — 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.
DetectionPagerDuty notifies Stacksync of record changes through webhook events. V3 webhook subscriptions push incident.* and service.* events (triggered, acknowledged, escalated, resolved, created, updated).
DeliveryEach detected change is written to Quip through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Quip for changes on an incremental schedule, reading only records changed since the previous pass. Polling on thread updated_usec timestamps — get_recent_threads paginates by max_updated_usec.
DeliveryEach detected change is written to PagerDuty through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PagerDuty–Quip connection.
Changes in PagerDuty or Quip instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PagerDuty or Quip data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single PagerDuty or Quip record.
Track your PagerDuty ⇄ Quip sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PagerDuty and Quip.
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 PagerDuty and Quip 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 PagerDuty and Quip 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 PagerDuty and Quip: authenticate both systems, choose the objects to sync (such as PagerDuty's Users and Notes and Log Entries), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on PagerDuty: V3 webhook subscriptions push incident.* and service.* events (triggered, acknowledged, escalated, resolved, created, updated); list endpoints also support polling with updated_at and since/until windows. On Quip: Polling on thread updated_usec timestamps — get_recent_threads paginates by max_updated_usec; there is no change-data-capture and no outbound change webhook. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Quip side: Folders, Messages, Users, Blobs, plus custom fields where Quip exposes them. On the PagerDuty side: Schedules, Escalation Policies, On-Calls, Notes and Log Entries. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for PagerDuty and Quip: Where PagerDuty tracks engineering work: requests become issues; Where PagerDuty moves messages between services: activity lands on the stream; Where PagerDuty is the directory or identity source: one set of users. A ticket or request raised in Quip opens or updates a matching issue in PagerDuty, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
PagerDuty: REST API v2 (plus Events API v2 for inbound alerts). Authentication: REST API token via the Authorization: Token header (account-level for full access or user-level scoped to the user's permissions), or OAuth 2.0 (Authorization Code / PKCE); the Events API v2 uses a per-service routing (integration) key. Quip: REST (v1 Automation API). Authentication: OAuth 2.0 bearer tokens (RFC 6749/6750) or a Personal Access Token; domain admins can pre-approve apps for domain-wide authentication. Stacksync manages authentication, retries, and rate limits on both sides.
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 390 integrations available for PagerDuty and Quip.