Before You Build an Integration: Evaluate an App’s API Change Policy

Start with the integration’s critical jobs

An API integration connects applications so they can exchange data or functionality. Before comparing API policies, define what your integration must do. A policy matters in proportion to the business work that depends on it: a change affecting a rarely used report is different from one that interrupts order processing or customer updates.

Write down the workflow in operational terms, not only as a list of endpoints. This makes it easier to test whether the application’s documented interface supports the work you actually need.

• Records: Which objects must be read, created, updated or linked?
• Actions: Which user or system actions need to trigger the integration?
• Workflow: What is the expected sequence, and which steps must succeed together?
• Failure impact: What happens if a request stops working, runs late or produces incomplete data?
• Ownership: Who will maintain the connection and respond when it fails?

Find the published API lifecycle policy

Look in the application’s official API documentation, developer guides, release notes, changelog and support materials. Search for explicit statements about compatibility, breaking changes, deprecation, retirement, support periods and how changes are announced.

Do not infer a policy from the presence of version numbers or from an API request that works today. A version label alone does not tell you how long an interface is supported or how much notice a change will receive. If documentation is silent or ambiguous, record that as an unanswered question rather than assuming the API is stable.

• Is there a clear explanation of what the publisher considers a breaking change?
• Does documentation explain how deprecated endpoints or fields are identified?
• Is any support or transition period stated? Note the exact scope and wording rather than generalizing it.
• Where are changes announced, and can your responsible team reliably monitor that channel?
• Are policy statements dated or tied to specific products and API areas?

Check the evidence behind the policy

A policy is more useful when you can trace it to concrete, current evidence. Compare the official API reference with change logs, examples and any published process for raising technical issues. Check that the material covers the API surface your workflow needs, not merely the product in general.

Treat examples as illustrations, not a guarantee that every behavior is specified. If an important requirement is not documented, ask the publisher or maintainer a precise question and keep the answer with your evaluation. The available evidence may not establish a particular application’s compatibility guarantees, notice periods or testing facilities; those need to be verified for the candidate you are considering.

• Record the documentation page and the date you reviewed it.
• Compare the documented operations with your list of critical records and actions.
• Check whether change announcements explain impact, affected interfaces and any required action.
• Note gaps, conflicting statements and areas where you need written clarification.
• Ask how technical issues are reported and what information the support or maintainer needs to investigate them.

Test the contract, not just a successful request

A single successful request proves only that one request worked in one situation. Test the contract your integration relies on: the meaning and format of identifiers, required fields, relationships, response structure and failure behavior. Use the official documentation as the expected behavior, and record any difference you observe.

Focus tests on the assumptions that would cause incorrect or lost work if they changed. For example, verify how your integration handles an absent optional field, an unexpected response, a rejected request and a record that cannot be processed. Do not assume that an optional field will always be present or that an error response will have a particular shape unless the documentation or your own test confirms it.

• Confirm how records are identified and whether your workflow depends on a particular identifier.
• Check which fields are required for each operation and how omitted or empty values behave.
• Exercise success and failure paths, including the response your integration receives when an operation is rejected.
• Test the cases relevant to your workflow when fields are missing, values are unexpected or responses differ from the expected shape.
• Save representative requests, responses and expected outcomes as regression tests, excluding sensitive production data.

Find out how safely you can test changes

Ask whether a sandbox, test instance or other non-production environment is available, and establish what it actually represents. A test environment is useful only if it lets your team exercise the relevant operations and observe meaningful behavior; do not assume it matches production or receives changes at the same time.

If no suitable environment is available, decide whether you can test with representative non-production data in a controlled instance. Clarify how test data is separated, who can access it, and how it will be removed or reset. If you cannot safely test a critical workflow before a change reaches production, treat that as a material operational risk.

• Can you create and reset test records without affecting live workflows?
• Does the environment expose the API operations your integration needs?
• How are changes to the test environment communicated, and how closely does it reflect the environment you will rely on?
• Can you validate authentication, permissions and error handling without using production credentials or sensitive records?
• What is your fallback test plan if the publisher does not provide a suitable non-production environment?

Plan for your side of the integration

Even a well-documented policy does not remove the need to maintain your integration. Keep a short dependency record that names the application, API areas, critical workflows, documentation locations and the person responsible for reviewing change notices.

Add monitoring that helps you notice failed or incomplete work, and agree on who investigates it. Where practical, test important assumptions again after a relevant change. If you self-host an application, hosting and operational arrangements are separate from the application’s API lifecycle policy: managed infrastructure can handle parts of deployment and service management, but it does not replace your decisions about data, access, integration behavior or change review.

• Assign an owner to monitor the official change channel and route notices to the right people.
• Document the integration’s dependencies and the business effect of a failure.
• Monitor outcomes that matter, such as failed runs or records that were not processed, using tools appropriate to your setup.
• Keep tests for critical workflows and rerun them when relevant API behavior may have changed.
• Define a response plan: who investigates, who communicates impact and how you pause or recover the workflow.

Compare candidates with a decision worksheet

Use the same questions for each application so that a polished documentation site does not overshadow missing lifecycle answers. Mark each item as documented, tested, confirmed by the publisher, unknown or not applicable. These labels distinguish evidence from assumptions.

There is no universal score that makes an API a safe choice. Set your own minimum requirements according to the impact of failure, your ability to maintain the integration and the evidence you can obtain. A critical workflow may justify requiring explicit written answers or a safe test route; a low-impact use may tolerate more uncertainty.

• Critical workflow and affected records: What must keep working?
• Lifecycle evidence: Where are compatibility, deprecation and change notices described?
• Coverage: Do the official materials address the exact operations and fields you need?
• Testing: Can you exercise critical behavior safely before relying on it?
• Operational fit: Can your team monitor notices, test changes and respond to failures?
• Open questions: What must the publisher or maintainer confirm before selection?
• Decision: Is the remaining uncertainty acceptable for this workflow, and what mitigation will you use?

Where managed self-hosting fits

For teams choosing a self-hosted business application, hosting and API suitability are related but separate decisions. Airbip offers managed deployment of applications from its public catalog as Docker workloads on Airbip cloud servers. Its service automates routing and TLS certificates, includes DNS checks, service lifecycle management and configurable daily, weekly and monthly backups, and supports an Airbip subdomain or compatible custom domain.

Those infrastructure capabilities do not establish an application’s API change policy or guarantee that a particular integration will keep working. Evaluate the application’s official documentation and test its relevant workflows separately. Also decide how your team will manage application data, credentials, permissions and integration maintenance. Check the live Airbip website for current plans and exact commercial terms.