Tour of the Augno API

See how Augno API objects fit together and learn best practices for combining them effectively.

This page gives you a practical mental model for the Augno API. You will learn how to think about API objects, how multi-step operations typically progress, and which patterns make integrations reliable in production.

If you want something hands-on first, start with Send your first API request. If you're looking for exact fields and endpoints, jump to the API referenceAPI.

The mental model

Everything is an object

In Augno, the things you interact with - customers, sales_orders, invoices, and batches - are represented as API objects that we term resources. Whether you create them via the API or in the Dashboard, you can generally retrieve and inspect the same underlying object.

Practically, this means your integration should:

Store object IDs: persist Augno IDs in your system so you can fetch, update, and reconcile later.
Treat the API as the source of truth: read back the latest state after writes, especially when downstream processes modify data.

Objects relate to other objects

Most integrations aren't “one endpoint and done.” A single workflow usually touches multiple objects that reference each other by ID (for example: a customer and its addresses, or an order and its line items).

In the API reference, pay special attention to:

Relationship fields: where objects point to other objects (IDs, arrays of IDs, embedded sub-objects).
Expandable / included data: ways to fetch related objects efficiently.

Many workflows are state machines

Some objects are “instant” - you create them and they're ready. Others represent a process and move through states over time (often via a status-like field).

Treat these objects as a state machine:

Your integration reads state (e.g., pending, processing, requires_user_input, succeeded, failed).
Your integration decides the next action (retry, supply missing data, wait, or alert a human).

The lifecycle of a successful operation

Most successful integrations follow the same loop, whether the operation is synchronous or asynchronous:

Start the operation with a request

You create or update an object by calling the API (for example, creating a customer from CRM data). The response will include the created/updated object and its ID.

Note

Every request sent to our API is logged and receives a unique request ID in the header Request-ID. This ID can be used to trace issues in the logs. Requests with an error will include a link to the error in the request logs.

Validate and handle correctable errors

Design your integration to surface clear, actionable messages for correctable errors (e.g., missing customer email) and to automatically retry transient failures with backoff. We provide the field is_transient in our standard error envelope so you will know whether or not an error is transient and could be retried.

Client errors (4xx) usually mean the input is missing/invalid or the request isn't allowed.
Rate limits / transient server errors (429/5xx) usually mean “retry later.”

Wait for completion

If an operation completes asynchronously, you'll typically observe progress by polling, which is fetching the object periodically until its status is terminal (success/failure).

Augno records request activity and makes this available for your review in the Dashboard's request logs.

Note

In the future we will support webhooks and events. If you have interest in participating in the private preview for these features, please let us know.

Best practices that pay off quicklyOptional

Build in a sandbox first: use test keys and test data until you're confident. Then follow the go live checklist.
Use systematic retries: retry is_transient: true errors with exponential backoff; don't blindly retry 4xx without changing the request.
Model “needs attention” states: when the API indicates missing or invalid data, capture it as a state in your system so you can prompt a user or queue remediation.