Delivery Check · API assurance for integration partners

What happens when your API delivery meets a failure?

Dependency failures. Repeated requests. Partial completion. AIKUS challenges agreed API behaviour in a test environment and records what the evidence supports and what remains unresolved.

You keep the client relationship and release decision.

Why now

When a workflow repeats a request or loses a confirmation, the receiving tool still has to handle it correctly. These labs make that behaviour inspectable.

Lab evidence

One reservation request. Three calls.

In our lab, the version deliberately built without idempotency reserved stock three times for one repeated request. The fixed tool returned the same reservation on all three calls and rejected a changed quantity under the same key.

AIKUS-built tool and mock inventory; seeded flaw disclosed.

Inspect the evidence →

Payment committed. Confirmation lost.

In our lab, a charge committed but its confirmation was lost; when the flawed tool was retried, it charged twice, after reporting "failed". The fixed tool charged once, reported "outcome unknown" after the loss, and returned the committed charge through a status lookup.

AIKUS-built tool and mock payment provider; seeded flaws disclosed.

Inspect the evidence →

Delivery Check

A bounded check alongside your existing delivery and testing work.

Agree the boundaryOne API product, up to 10 endpoints, one test environment and one agreed test-data set.
Challenge the behaviourAgree the relevant conditions, such as dependency failure, retry behaviour, partial completion and recovery.
Get usable evidenceA Delivery Evidence Report with material findings, coverage gaps, unresolved conditions and one retest round.

Report within 15 working days of confirmed working access. Testing takes place in the supplied test environment. Your team retains the release decision.

The MCP tool labs above demonstrate our challenge-and-evidence approach. Delivery Check remains an API package with its own agreed scope.

Work alongside your team

Bring an API delivery and the conditions you want to examine. We agree scope and access with you, then provide reproducible findings your team can use.

For forward-deployed engineering teams: model evals and tool-layer checks answer different questions. Our lab examines what a tool does when requests repeat or inputs change. Whether an agent supplies a stable key remains untested. Any MCP engagement would need separately agreed scope.

AIKUS is operated by Dynacov.