Real-time
Two-way sync
Changes in Airtable or Autopilot instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ AI
Airtable to Autopilot integration — real-time, two-way sync
Keep Airtable and Autopilot 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 Airtable and Autopilot
Sync the records in Airtable into Autopilot and land its embeddings, classifications, and generated fields back on the same rows, in real time and without a pipeline to maintain.
AI systems do not hold customers or invoices the way business apps do. What they hold is derived from your data: the vectors and metadata in a vector store, or the classifications, extracted fields, and generated text a model produces over records it was given. Airtable is where those source records actually live. The bridge between the two is the row itself, since an item in Autopilot and the record in Airtable it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Attachments, Collaborators, Bases, Tables in Airtable with Lists, Custom Fields, Smart Segments, Journeys (Triggers) in Autopilot in real time. Rows created or changed in Airtable flow into Autopilot so inference and embedding run on current data, and the scores, labels, and generated fields Autopilot produces flow back onto the matching rows in Airtable, mapped field by field. A change on either side appears on the other within seconds, with no extraction job or webhook plumbing to keep alive.
Because matching is by a stable identifier, every row in Airtable stays tied to its AI-side counterpart in Autopilot. Retrieval, enrichment, and generated content always resolve back to the record they came from, so there are no orphaned vectors and no labels describing a version of a row that no longer exists.
Common use cases
- 01 Stream Activities into a warehouse so opens, clicks, and journey steps sit next to product and revenue data for lifecycle reporting.
- 02 Upsert Contacts from a CRM or product database into Autopilot so new signups and profile changes flow into email and SMS journeys without manual CSV imports.
- 03 Use Airtable as a lightweight front end for product catalogs or inventory stored in an ERP or warehouse database.
- 04 Consolidate several Airtable bases into one analytical database for reporting without manual CSV exports.
Common sync patterns
One record, one identifier
Each item in Autopilot carries the key of the row in Airtable it came from, so results resolve back to the exact record with nothing orphaned or duplicated.
Run the AI on current data
Rows created or changed in Airtable flow into Autopilot as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly snapshot.
Write results back onto the record
Scores, labels, extracted fields, or generated text produced in Autopilot land on the matching row in Airtable, next to the source data your applications already query.
What you can sync between Airtable and Autopilot
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.
| Airtable objects | Autopilot objects | How this pairing syncs | |
|---|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | Tables is specific to Airtable and Contacts to Autopilot — each maps to any object or custom field on the other side. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Records is specific to Airtable and Lists to Autopilot — each maps to any object or custom field on the other side. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. | Fields is specific to Airtable and Custom Fields to Autopilot — each maps to any object or custom field on the other side. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Views is specific to Airtable and Smart Segments to Autopilot — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Linked records is specific to Airtable and Journeys (Triggers) to Autopilot — each maps to any object or custom field on the other side. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Attachments is specific to Airtable and Activities to Autopilot — each maps to any object or custom field on the other side. |
How changes propagate between Airtable and Autopilot
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.
Airtable Autopilot Sub-second propagation
DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).
DeliveryEach detected change is written to Autopilot through its API, with automatic retries and rate-limit backoff.
Autopilot Airtable Interval-based propagation
DetectionStacksync polls Autopilot for changes on an incremental schedule, reading only records changed since the previous pass. No CDC.
DeliveryEach detected change is written to Airtable through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Airtable: The Web API enforces a per-base limit of 5 requests per second.
- Autopilot: The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
What ships with Airtable ⇄ Autopilot
Connect Airtable and Autopilot for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Autopilot connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or Autopilot 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 Airtable or Autopilot record.
Observability
Monitoring
Track your Airtable ⇄ Autopilot sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Airtable and Autopilot.
How the Airtable and Autopilot connectors work
Airtable
- Integration surface
- REST API (per-base Web API plus metadata and webhooks endpoints)
- Authentication
- OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks
- Change detection
- Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- The Web API enforces a per-base limit of 5 requests per second.
Autopilot
- Integration surface
- REST API (Autopilot v1); Autopilot rebranded to Ortto in 2021 and the newer Ortto API co-exists with the legacy Autopilot endpoints
- Authentication
- Per-account API key sent in the autopilotapikey request header (generated in account settings); requests use Content-Type application/json against https://api2.autopilothq.com/v1/
- Change detection
- No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path.
- Capabilities
- read · write
- Rate limits
- The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
How it works
How to connect Airtable to Autopilot — 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.
- 01
Connect your apps
Authenticate Airtable and Autopilot with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Airtable
connected
Autopilot
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and Autopilot 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.
objects · Airtable ⇄ AutopilotCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Airtable AutopilotCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and Autopilot integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Airtable and Autopilot: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Records), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Autopilot: There is no change-data-capture: incremental sync polls /contacts with bookmark cursor pagination on updated timestamps, and bulk writes are done by passing an array to the contact upsert endpoint. Airtable: Computed field types such as formulas, lookups, and rollups are read-only over the API, so bi-directional syncs must map writes to source fields. Stacksync's field mapping accounts for these differences between Airtable and Autopilot without custom code.
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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 Airtable and Autopilot records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Autopilot connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Autopilot integration in-house.
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Yes — Stacksync ships production-grade connectors for both Airtable and Autopilot. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Airtable: Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour. On Autopilot: No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 514 integrations available for Airtable and Autopilot.
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