acceptance-verification

You can verify deployment readiness by layering checks across process, listener, HTTP, authenticated API, admin identity, mutating smoke, and persistence to prove the service is actually usable, not merely running.

Layered operational verification validates a deployed service by sequentially testing process, network, and application gates, collecting durable evidence in SQLite-backed runtime state to document whether the deployment passed or needs repair.

Run the verify_contract.py script with a checks JSON payload via --checks-json, and use --required-profile and --minimum-layer parameters to specify the expected minimum proof for the authenticated API layer.

Use mutating smoke checks during deployment verification when you need to confirm safe write operations and persistence are functioning, especially after service deployment, change lifecycle events, or high-impact repairs.

Yes, layered deployment verification relies on SQLite-backed runtime state to collect durable evidence and perform live checks across all acceptance gates to determine if the deployment truly passed.

The best way to decide deployment readiness is running a layered acceptance workflow that evaluates process, network, application, and persistence gates, providing structured operator feedback for CTOX decisions.