Apollo adds structured error details for programmatic API handling

Apollo exposes stable error details for API clients

Apollo's September 18 API changelog says errors using its new format now include an error_details object. Apollo documents four parts: code, a stable machine-readable identifier; message, a concise description; suggestions, actionable recovery steps that can point to parameters, headers or documentation; and context, request-specific values or descriptions when they are safe and useful to return.

The changelog gives an invalid API key as an example and shows a code such as AUTH.AUTHENTICATION.API_KEY_INVALID. Apollo links the release to its API status and error-code guidance. The update improves the interface available to clients; it does not guarantee that every possible error already uses the new format or that every integration can safely automate recovery without its own business rules.

Sources: Apollo API changelog, September 18, 2026

Stable codes are more useful than parsing error prose

Many RevOps integrations start with a broad catch block that logs an error string and retries. That works until different failure classes require different actions. An invalid credential, malformed request, denied permission, missing record, rate condition and transient network problem should not all enter the same retry loop. A stable provider code gives the integration a safer routing key than human-readable message text that may change.

Store the Apollo code alongside the internal workflow failure class rather than replacing one with the other. The provider code explains what Apollo returned; the internal class explains what the business workflow should do. For example, a credential code can map to stop and page the integration owner, while invalid input can map to a record-level exception and a transient condition can map to a bounded retry policy.

Suggestions can help operators without becoming executable policy

Apollo says suggestions can identify recovery steps and relevant parameters, headers or documentation. That is useful diagnostic context for a human and can improve an exception UI. RevOps should still avoid executing free-form suggestion text as instructions. Automation policy should map documented stable codes to approved actions, while suggestions remain evidence that helps the operator understand or repair the case.

The same separation applies to request context. Preserve useful safe context for diagnosis, but do not copy secrets, raw authorization material or unnecessary personal data into broad logs. Define which request identifiers, record IDs and parameters are needed for replay or debugging. Error observability should make failures easier to investigate without creating a second uncontrolled data store.

Retry safety depends on the operation

A read request can often be retried with less risk than a write. For a mutation, the client may lose the response after Apollo or another destination has already committed the action. Retrying blindly can create duplicate records, sequence enrollments or other repeated work if the endpoint and workflow do not provide a stable idempotency mechanism. Structured error codes improve classification but do not remove this distributed-systems problem.

For every automated write, record the business-action key, destination object or request ID when available, retry count and final disposition. After an uncertain result, reconcile destination state before deciding to repeat the action. Keep maximum retry limits and a dead-letter or review path so a persistent provider failure cannot consume unbounded capacity or hide a broken production dependency.

Unknown codes should be first-class exceptions

When Apollo adds or changes an error code, a mature integration should not silently map it to the nearest known class. Treat unknown codes as observable events. Capture the code, endpoint, response status, workflow version and sanitized context, then route the record to review. Once the team understands the failure, add an explicit mapping with a tested policy.

This avoids a common maintenance problem where a default branch grows into de facto behavior. If every unrecognized error is retryable, a new validation rule can create retry storms. If every unknown error is terminal, a temporary provider condition can strand work. Unknown is a legitimate operational state and should remain visible until the team has evidence for a safer classification.

What DailyRevOps would change in an Apollo integration

Inventory the current error handling and identify where code branches still depend on response text or HTTP status alone. Add logging for error_details.code when present, keep the original status and sanitized context, and create a small mapping table for the failure classes the workflow actually sees. Do not invent mappings for undocumented errors just to make the table look complete.

Then force a controlled invalid-key case, an invalid-input case if a safe test endpoint allows it, and one simulated transient failure around the client. Confirm that each lands in the intended stop, repair or retry path and that the final business record is visible to an operator. The value of structured errors is not richer logs by themselves; it is a more deliberate boundary between a provider failure and the next action RevOps permits.