ContextQA brings AI data validation to enterprise stacks — ensuring consistency, integrity, and accuracy across databases, APIs, and applications, automatically.
Applications fail when data doesn't match expected rules. A single mismatch can hide bugs, trigger flakiness, or make features behave unpredictably — so ContextQA checks it all.
Automatically checks table and collection structure — flagging wrong field types, missing fields, and unplanned schema drift.
Explore database testingInspects each record to confirm required fields, allowed ranges, and correct formats.
See all core featuresExamines each API response against expected rules for REST, GraphQL, and internal endpoints.
Test REST & GraphQL APIsCompares data before and after large changes, surfacing missing or duplicated records.
Enterprise-grade testingValidates critical records in CRM systems, user directories, and financial systems.
Salesforce data testingRecurring checks run in the background for your workflows — always on, never skipped.
Continuous testingMissing fields, schema drift, mismatched payloads, duplicate records — surfaced with clear explanations.
ordersschemaWrong types, missing fields, unplanned changes — caught the moment your structure drifts.
GET /orders200Every response is checked against expected rules for REST, GraphQL, and internal endpoints.
migrationv1 → v2Compare data before and after big changes — so migrations and upgrades stay safe.
health checksbackgroundRecurring checks run quietly in the background — constant validation with zero extra engineer effort.
Catch corrupted or mismatched data before it reaches users — with safer migrations and upgrades.
Clear explanations point straight to the mismatch, so issues are quick to find and fix.
Consistent data across staging and production gives regulated teams the evidence they need.
Automated checks review data structure, accuracy, and consistency across systems during testing and routine monitoring — without extra engineer effort.
Yes. ContextQA validates SQL, NoSQL, and cloud-based data stores across environments.
No. ContextQA runs checks in parallel with your pipelines and processes them in the background.
Missing required fields, incorrect types, invalid ranges, duplicate records, broken relations, mismatched payloads, schema drift, and corrupted data.
Manual checks are time-consuming and skipped under deadline pressure, and custom scripts require maintenance. ContextQA provides constant validation without extra engineer effort.
See ContextQA validate your schema, records, APIs, and migrations — live, on your stack.
Book a DemoWhat you test
Catch hallucinations and drift before users do
SAP, Oracle, Workday & custom ERP
Browser automation across every engine
Native iOS and Android coverage
REST and GraphQL validation
CRM workflow automation
Enterprise application coverage
See what a code change breaks before merge
How you test
Plan, track, and manage every test
Tests repair themselves as code shifts
Pinpoint why a test broke, instantly
Catch unintended UI change
Load and stress at scale
Always-on across every release
Platform & AI
Parallel cloud grid, every browser and device
One prompt drives 50 testing tools
Test assets and code export
Real user intelligence and analytics
Connect Jenkins, Jira, CI/CD
IBM, Coforge, Red Hat
Analyze End-To-End Tests
Platform & AI
Not three tools.
