Real-time sync
Changes in Apollo.io or Openai instantly reflect in both systems. No stale data, no manual imports.
Keep Apollo.io 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 Apollo.io, so Apollo.io 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 Apollo.io, 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 Apollo.io.
Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Apollo.io stays the record of the customer while Openai stays where the computation happens.
Summaries, next steps, or drafted messages generated in Openai write back onto the account or deal in Apollo.io, next to the relationship they describe.
Enriched attributes from Openai populate contact and company fields in Apollo.io, 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 Apollo.io, so reps sort and act on them without leaving the CRM.
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.
| Apollo.io objects | Openai objects | How this pairing syncs | |
|---|---|---|---|
| Deals (Opportunities) Pipeline records that can be read and written to keep Apollo aligned with the CRM of record. | 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. | Deals (Opportunities) is specific to Apollo.io and Batch jobs to Openai — each maps to any object or custom field on the other side. | |
| Tasks and calls Rep activity records synced for activity reporting and coaching workflows. | Vector stores File collections backing file-search retrieval, with name, file counts, usage bytes, and status; read as a metadata inventory of retrieval assets. | Tasks and calls is specific to Apollo.io and Vector stores to Openai — each maps to any object or custom field on the other side. | |
| Custom fields Account- and contact-level custom attributes mapped field-by-field in a sync. | 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. | Custom fields is specific to Apollo.io and Usage & Costs to Openai — each maps to any object or custom field on the other side. | |
| Contacts People saved to your Apollo account, synced with emails, phone numbers, and enrichment fields. | Projects & Members Organization projects, their members, and service accounts from the Administration API; read as an access-and-ownership inventory. | Contacts is specific to Apollo.io and Projects & Members to Openai — each maps to any object or custom field on the other side. | |
| Accounts Company records with firmographic attributes, matched to CRM accounts during sync. | Audit logs Organization audit-log events (API-key changes, logins, project edits) from the Administration API; read for compliance and security monitoring. | Accounts is specific to Apollo.io and Audit logs to Openai — each maps to any object or custom field on the other side. | |
| People (database records) Prospects from Apollo's global database, pulled into downstream systems once enriched or saved. | 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. | People (database records) is specific to Apollo.io and Models 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.
DetectionStacksync polls Apollo.io for changes on an incremental schedule, reading only records changed since the previous pass. Polling on updated-at timestamps.
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 Apollo.io 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 Apollo.io through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apollo.io–Openai connection.
Changes in Apollo.io or Openai instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apollo.io 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 Apollo.io or Openai record.
Track your Apollo.io ⇄ Openai sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apollo.io 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 Apollo.io 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 Apollo.io 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 Apollo.io 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apollo.io and Openai connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apollo.io–Openai integration in-house.
Yes — Stacksync ships production-grade connectors for both Apollo.io and Openai. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apollo.io: Polling on updated-at timestamps; webhook callbacks exist only for delivering asynchronous enrichment results, not as a general change-event stream. 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.
On the Openai side: Files, Batch jobs, Vector stores, Usage & Costs, plus custom fields where Openai exposes them. On the Apollo.io side: Tasks and calls, Custom fields, Contacts, Accounts. Stacksync auto-detects both schemas and converts types between the two systems.
Openai is a read-only source, so this integration runs one-way: Stacksync reads from Openai in real time and delivers into Apollo.io. Field mapping and monitoring work the same as for two-way pairs.
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 381 integrations available for Apollo.io and Openai.