Checkverify

Checkverify is a term used in software engineering to describe a verification workflow and the accompanying tooling that assesses whether data, credentials, or transactions meet predefined rules. It can denote either a specific product, library, or a generic approach embedded within applications.

Core functionality includes input normalization, rule-based evaluation, and reporting. Checkverify systems typically integrate data from multiple sources such as identity providers, registries, or internal databases, and apply checks like format validation, cryptographic signature verification, revocation status, and consistency checks.

A typical workflow starts with data ingestion, followed by normalization, rule evaluation, and result generation. Results are presented as pass/fail with diagnostic messages and an audit trail. When supported, evidence is machine-readable to support compliance and governance.

APIs and integrations are central to checkverify implementations. Most expose REST or gRPC endpoints and offer software development kits for common programming languages. They also provide auditing, access controls, and privacy features to limit data exposure and ensure traceability across checks.

Common applications include identity verification during onboarding, document verification in regulated industries, digital signature validation, and integrity checks for data pipelines and financial transactions.

Variations exist across vendors and open-source projects, and there is no single standard for checkverify. The term generally describes a pattern of validating inputs, credentials, or processes through programmable checks and traceable results.

Related concepts include data validation, identity verification, digital signatures, and certificate transparency.