Email Logs API.
Understand the journey of every message.

Give every message a clear identity

Email logging starts with the distinction between a message, a conversation, and an attempt to deliver or process either one. Preserve an opaque message reference from the source system, the account scope that issued it, and a separate event identifier. A reply may be a new message in an existing conversation, while a retry may carry the same message again.

Choose event names that explain the action: send requested, provider accepted, inbound received, delivery status observed, or processing completed. These names are recommended design choices. Translate provider statuses through a documented mapping and retain the original bounded status when it helps explain differences between systems.

Follow delivery and processing separately

A successful send request establishes a particular processing stage; it does not establish that the recipient read or acted on the message. Keep transport outcomes separate from business outcomes such as meeting requested or support case created. A workflow reference can connect those stages without overstating what an individual event proves.

Retain occurrence and observation times to expose delays. When duplicate callbacks arrive, record their delivery attempts while preventing duplicate business actions. Link downstream CRM or calendar updates to their initiating event explicitly. The workspace event logging guide follows an example across those boundaries and explains useful failure questions.

Minimize the message content you retain

Operational diagnosis usually needs identifiers, state, timing, and error categories before it needs message bodies. Prefer a controlled reference to the original message over copies of its text, attachments, or recipient list. Error output deserves the same care: a provider response can include addresses or other details that do not belong in a broadly accessible dashboard.

Test accepted sends, rejected requests, delayed notifications, duplicate deliveries, and failures in downstream processing. Check that an investigator can tell what the application attempted and what was actually observed. The recommended fields below support that starting point and can be extended when a specific diagnostic need justifies additional data.