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Connect Openai to any app with real-time data sync.

Sync Openai across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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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Object catalog

What Stacksync syncs in Openai.

These objects are read from Openai in real time and delivered into your connected systems, with field-level mapping. Custom fields are picked up from the live schema where Openai exposes them.

Models
Catalog of available base, snapshot, and fine-tuned models with owner and capabilities; read-only reference data used to resolve inference and fine-tuning targets.
Fine-tuning jobs
Training jobs with status, base model, hyperparameters, trained-model name, and result files; status received by webhook or polled from queued through succeeded or failed.
Files
Uploaded training, validation, and batch-input files plus generated output files; listed and read by ID, not written back as business records in sync.
Batch jobs
Asynchronous bulk-inference jobs within a 24-hour window, with status and output/error file IDs; completion detected by the batch.completed webhook or by polling.
Vector stores
File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets.
Usage & Costs
Per-model and per-project token, request, and dollar figures from the Administration Usage and Costs endpoints, read for FinOps chargeback and spend reporting.
Projects & Members
Organization projects, their members, and service accounts from the Administration API; read as an access-and-ownership inventory.
Audit logs
Organization audit-log events (API-key changes, logins, project edits) from the Administration API; read for compliance and security monitoring.
API surface

How Stacksync connects to Openai.

The connector runs on Openai's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
REST API: data-plane inference and authoring (api.openai.com/v1) plus the Administration API (/v1/organization/*) for usage, costs, projects, and audit logs
Authentication
Bearer API key scoped to a project or user (sk-...) in the Authorization header, with optional OpenAI-Organization and OpenAI-Project headers; the Administration API requires an Admin key (sk-admin-...)
Change detection
Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed, and eval.run events; objects without a webhook are read by list plus GET-by-ID. No row-level CDC feed.
Rate limits
Rate limits are set per organization and per project as RPM/RPD and TPM/TPD and rise across five spend-based usage tiers; responses carry x-ratelimit-remaining headers and return HTTP 429 on breach.

Sync directions

  • Read Supported
  • Write Not available
  • Change data capture Not available
  • Webhooks Supported
What ships with Openai

Connect Openai for flexible, real-time data sync.

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

Real-time

Real-time sync

Changes in Openai flow into your connected systems in real time. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Openai 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 Openai record.

Observability

Monitoring

Track your Openai sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Openai connector.

The OpenAI platform is owned by platform, ML, and FinOps teams who run OpenAI models (GPT, embeddings, images, audio) under organization and project scoping. It is an inference and model-ops service, not a business system of record: the durable objects are Models, Fine-tuning jobs and their Files, Batch jobs, Vector stores, and Administration Usage, Costs, Projects, and audit logs. Teams pull that metadata out for cost governance, MLOps dashboards, and security review rather than writing business records in.

  • Platform engineering
  • MLOps / ML engineers
  • Cloud FinOps
  • AI platform leads
  • Security & compliance

  1. Sync the OpenAI Models catalog and each project's fine-tuned models into Postgres so platform teams track every deployed and trained model in SQL.

  2. Land Fine-tuning jobs with their status, base model, hyperparameters, and result Files in a warehouse to power MLOps dashboards without per-viewer API calls.

  3. Subscribe to batch.completed and fine_tuning.job.succeeded webhooks so a downstream pipeline step fires the moment an offline-inference or training job finishes.

  4. Pull Administration Usage and Costs into a warehouse for FinOps chargeback, per-project budget tracking, and spend-tier planning.

  5. Mirror organization Projects, members, and service accounts into a database as an auditable access inventory for security reviews.

  6. Stream OpenAI audit-log events into a SIEM or operational database for compliance monitoring of key changes, logins, and project edits.

All Openai integrations

Pick the system you need to keep in sync with Openai. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 41

ERP · 37

Database · 50

Data warehouse · 28

Business productivity · 37

How it works

Set up Openai in minutes, without APIs.

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 Openai with its 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
    Openai connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Openai objects to sync — Stacksync auto-detects the schema, 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 · Openai
    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
    Openai database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Openai connector FAQ

What can I sync with the Openai connector?

Openai's core objects — Models, Fine-tuning jobs, Files, Batch jobs and custom fields — can sync with any of 302 other systems. Openai is a data source: Stacksync reads from it in real time and delivers into your systems of record, with field-level mapping.

How does Stacksync connect to Openai?

Via REST API: data-plane inference and authoring (api.openai.com/v1) plus the Administration API (/v1/organization/*) for usage, costs, projects, and audit logs, authenticated with Bearer API key scoped to a project or user (sk-...) in the Authorization header, with optional OpenAI-Organization and OpenAI-Project headers; the Administration API requires an Admin key (sk-admin-...). Changes are detected as follows — push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed, and eval.run events; objects without a webhook are read by list plus GET-by-ID. No row-level CDC feed.. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Openai connector two-way?

Openai is primarily a read-only source: Stacksync pulls its data into your CRM, database, or warehouse in real time. Writes flow into the systems Openai connects to, not back into Openai.

How long does an Openai integration take to set up?

Most Openai integrations go live in minutes: authenticate Openai and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Openai data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Openai data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more
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