Real-time sync
Changes in Openai or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Keep Openai and Sysaid in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Openai is a read-only source: Stacksync reads its data in real time and delivers it into Sysaid, so Sysaid always reflects the current state of Openai — without exports, scripts, or schedulers.
Openai works on data it does not own. The records, conversations, tickets, messages, and events it needs to embed, classify, summarize, or answer questions about actually live in Sysaid, the tool the team uses every day. So the value of Openai depends on two flows that most teams stitch together with a custom script or a one-time export: getting Sysaid's data in, and getting the model's results back out to where people can act on them. When either flow runs on a batch or a stale snapshot, the model reasons over yesterday's data and its output never reaches the record it belongs to.
Stacksync syncs Companies, Custom Fields, Incidents, Service Requests from Sysaid into Openai continuously, so the model always works from current records instead of a snapshot, and writes Batch jobs, Vector stores, Usage & Costs, Projects & Members, the scores, labels, summaries, drafts, and embedding metadata Openai produces, back onto the matching record in Sysaid. The sync is field-level and keyed on a stable identifier, so every output attaches to the exact record it came from and each system keeps its own extra fields untouched.
You decide the direction and the trigger conditions per field: pull records one way to build and keep a retrieval corpus current, push results the other way onto the operational record, or both.
Summaries, suggested replies, or generated content from Openai sync onto the Sysaid record as a field or note, ready for a person to review before it goes out.
Because each item is matched on a stable identifier, an Openai result always attaches to the record in Sysaid it was computed from, with no manual reconciliation.
Records, tickets, messages, or events from Sysaid sync into Openai so they can be indexed, embedded, or retrieved as context, without a hand-built extraction job.
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.
| Openai objects | Sysaid objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Assets Hardware and software inventory; read out to a warehouse or written from a discovery or CMDB source of truth. | Models is specific to Openai and Assets to Sysaid — each maps to any object or custom field on the other side. | |
| 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. | Configuration Items (CIs) CMDB entries and their relationships; synced with an external CMDB or asset database for one inventory view. | Fine-tuning jobs is specific to Openai and Configuration Items (CIs) to Sysaid — each maps to any object or custom field on the other side. | |
| 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. | Companies Customer and department organizations that scope tickets and users; mapped to Accounts in a CRM or org tables in a database. | Files is specific to Openai and Companies to Sysaid — each maps to any object or custom field on the other side. | |
| 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. | Custom Fields Org-specific fields on service records, discoverable through the API so mappings can be generated without hardcoding names. | Batch jobs is specific to Openai and Custom Fields to Sysaid — each maps to any object or custom field on the other side. | |
| Vector stores File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets. | Incidents Break/fix tickets under /api/v1/sr with type=incident; created and updated two-way with status, priority, assignee, category, and SLA fields. | Vector stores is specific to Openai and Incidents to Sysaid — each maps to any object or custom field on the other side. | |
| 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. | Service Requests Catalog and help-desk requests on the same /sr endpoint (type=request); written or read so fulfillment can be driven from another system. | Usage & Costs is specific to Openai and Service Requests to Sysaid — 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.
DetectionOpenai notifies Stacksync of record changes through webhook events. Push webhooks (Standard Webhooks spec, whsec_ signing secret) fire on batch.completed, fine_tuning.job.succeeded/failed, response.completed/failed,.
DeliveryEach detected change is written to Sysaid through its API, with automatic retries and rate-limit backoff.
DetectionSysaid notifies Stacksync of record changes through webhook events. Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature.
DeliveryOpenai does not accept inbound record writes, so this direction carries requests rather than records: Openai's output flows back as field updates on the originating Sysaid records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Openai–Sysaid connection.
Changes in Openai or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Openai or Sysaid data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Openai or Sysaid record.
Track your Openai ⇄ Sysaid sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Openai and Sysaid.
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 Openai and Sysaid 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 Openai and Sysaid 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 integration between Openai and Sysaid — Openai is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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 Openai and Sysaid records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Openai and Sysaid connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Openai–Sysaid integration in-house.
Yes — Stacksync ships production-grade connectors for both Openai and Sysaid. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Openai: 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. On Sysaid: Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Openai side: Batch jobs, Vector stores, Usage & Costs, Projects & Members, plus custom fields where Openai exposes them. On the Sysaid side: Companies, Custom Fields, Incidents, Service Requests. Stacksync auto-detects both schemas and converts types between the two systems.
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 484 integrations available for Openai and Sysaid.