A mechanism that flags and detects inaccurate or bad data, and annotates the flagged data with automatically generated metadata that may then be provided to end users (e.g., resource managers, service owners, finance analysts, data scientists, executives, etc.) via an application stack. The automatic annotations comprise quality annotations that may include data freshness, correctness, and/or completeness.