Quantin Integration Architecture: Sources, Actions and Webhooks

Quantin integrations connect intelligence workflows to the systems where information originates and work is completed. A clean architecture separates inbound sources, outbound actions, and asynchronous event notifications.

Source integrations

Sources provide documents, records, time series, messages, or events. Prefer incremental synchronization with stable external identifiers. Store source timestamps and access scope so retrieved context remains traceable.

Action integrations

Action connectors create an external effect, such as updating a record or initiating an approved workflow. Use narrowly scoped credentials, validate payloads, and require idempotency for operations that may be retried.

Webhook integrations

Webhooks notify your system when a run, approval, or action changes state. The receiving endpoint should verify authenticity, acknowledge delivery quickly, and process the event asynchronously.

Illustrative event envelope

{
  "event_id": "evt_example",
  "event_type": "run.completed",
  "occurred_at": "2026-09-16T08:30:00Z",
  "workspace_id": "workspace_example",
  "data": { "run_id": "run_example" }
}

Choose the integration pattern

• Use scheduled synchronization for large datasets that change predictably.
• Use event ingestion for time-sensitive observations.
• Use direct actions when Quantin must update a downstream system.
• Use webhooks when your application needs lifecycle notifications.

Operational requirements

Monitor authentication failures, schema changes, rate limits, latency, and data freshness. Maintain a test environment and replayable fixtures for connector upgrades. A connector is production-ready only when its failure and recovery behavior are documented.

Well-designed integrations preserve identity, time, permissions, and causality across system boundaries.