Real-time sync
Changes in Close or Openai instantly reflect in both systems. No stale data, no manual imports.
Keep Close and Openai 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 Close, so Close always reflects the current state of Openai — without exports, scripts, or schedulers.
Openai turns data into something a revenue team can act on: scores, classifications, summaries, and embeddings. But the customers those results describe live in Close, where reps and marketers actually work. Intelligence that stays inside Openai rarely reaches the record where a decision gets made, and Openai is only as sharp as the data it sees, which is also held in Close.
Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Close stays the record of the customer while Openai stays where the computation happens.
Enriched attributes from Openai populate contact and company fields in Close, and refreshes keep them from going stale.
Lead scores, fit ratings, or priority computed in Openai land as fields on the matching contact or account in Close, so reps sort and act on them without leaving the CRM.
Categories, sentiment, or intent produced in Openai attach to the right contact, account, or deal in Close, keeping segmentation current as new data arrives.
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.
| Close objects | Openai objects | How this pairing syncs | |
|---|---|---|---|
| Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics. | Vector stores File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets. | Activities is specific to Close and Vector stores to Openai — each maps to any object or custom field on the other side. | |
| Tasks Follow-up items assigned to users; synced for workload and SLA reporting. | 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. | Tasks is specific to Close and Usage & Costs to Openai — each maps to any object or custom field on the other side. | |
| Custom Activities User-defined activity types with their own custom fields, mapped like standard activities. | Projects & Members Organization projects, their members, and service accounts from the Administration API; read as an access-and-ownership inventory. | Custom Activities is specific to Close and Projects & Members to Openai — each maps to any object or custom field on the other side. | |
| Custom Fields Org-specific fields on leads, contacts, and opportunities; addressed by stable field ids in syncs. | Audit logs Organization audit-log events (API-key changes, logins, project edits) from the Administration API; read for compliance and security monitoring. | Custom Fields is specific to Close and Audit logs to Openai — each maps to any object or custom field on the other side. | |
| Users Sales reps referenced as owners on leads, opportunities, and activities. | 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. | Users is specific to Close and Models to Openai — each maps to any object or custom field on the other side. | |
| Smart Views Saved lead searches that can scope which records a segment-based sync pulls. | 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. | Smart Views is specific to Close and Fine-tuning jobs to Openai — 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.
DetectionClose notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling on date_updated fields for backfills.
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 Close records.
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 Close through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Close–Openai connection.
Changes in Close or Openai instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Close or Openai data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Close or Openai record.
Track your Close ⇄ Openai sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Close and Openai.
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 Close and Openai 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 Close and Openai 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 Close and Openai — 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.
Openai: Authentication is a Bearer API key scoped to a project or user; organization-level Usage, Costs, Projects, and audit-log endpoints require a separate Admin key (sk-admin-). Close: Webhook subscriptions can be created via the API to receive create, update, and delete events on leads, contacts, opportunities, and activities. Stacksync's field mapping accounts for these differences between Close and Openai without custom code.
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 Close and Openai records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Close and Openai connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Close–Openai integration in-house.
Yes — Stacksync ships production-grade connectors for both Close and Openai. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Close: Webhook subscriptions for record events, with polling on date_updated fields for backfills. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 502 integrations available for Close and Openai.