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The core idea
Requests can arrive from scripts, old clients or manipulated interfaces. Validate the shape and meaning of input before it enters business logic. Shape checks cover types and allowed fields; semantic checks cover relationships such as whether a course exists or a date is available. Authorization is a separate question and must also be enforced.
A practical approach
Step 1
Define a request schema with limits on length, size and allowed values. Decide how unknown fields and missing optional fields are handled.
Step 2
Normalize carefully before applying domain rules. Preserve distinctions that matter, such as unknown versus explicitly empty values.
Step 3
Reject invalid data with a consistent error contract and test the endpoint directly, bypassing the user interface.
Worked example
A contact form sends a topic and email address. A modified client can submit an unsupported topic or a very large body. Server checks protect the workflow even when the front-end controls normally prevent those inputs.
A mistake to avoid
TypeScript types do not validate arbitrary network data at runtime by themselves. Another mistake is accepting a client-supplied price or role as authoritative simply because its type is correct.
Try it yourself
Send one valid request and four invalid variants to a local test endpoint: missing field, wrong type, excessive length and unsupported value. Confirm that each is rejected before business side effects run.
Your implementation checklist
- Runtime validation runs on the server.
- Size and length limits are explicit.
- Domain checks follow structural checks.
- Authorization is not confused with validation.
Share or cite this guide
Innovate with Ajay Editorial (2026-10-04). Validate Inputs at the API Boundary. https://innovatewithajay.com/blogs/validate-at-the-api-boundary
