Data Quality Score API
A lightweight, cost-effective data quality inspection and verification service that helps engineering teams rapidly identify data issues before they impact business operations.
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Upload a CSV, JSON, or Excel file and receive an overall data quality score along with detailed insights no setup, no onsite work, pure self-service.
How It Works:
Upload your data file and get instant analysis across three critical dimensions:
Cutomer ID | Email | Purchase Date | Amount | Status |
|---|---|---|---|---|
C001 | john.wilson@acmecorp.com | 15/01/2025 | 2999.99 | completed |
C002 | sarah.smith@company.com | 16/01/2025 | 1500 | completed |
C003 | invalid-email | 17/01/2025 | -50 | pending |
C004 | 18/01/2025 | 8000 | error | |
C005 | mike@test.com | 19/01/2025 | 4250.5 | completed |
Common issues our API detects:
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Missing email addresses (CUST-005)
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Invalid email formats (CUST-003)
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Inconsistent date formats (CUST-004)
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Empty region fields (CUST-003)
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Suspicious values like negative amounts (CUST-004)
Three Quality Dimensions:
Completeness:
90%
✓ Identifies missing or null values across your dataset
✓ Highlights which fields have gaps
✓ Shows percentage of complete records
Insights: Are you making decisions with incomplete information?
Consistency:
75%
⚠️ Detects mixed data types and format inconsistencies
⚠️ Flags structural issues across records
⚠️ Identifies pattern breaks
Insights: Are "01/18/2025" and "2025-01-15" being stored in the same date field?
Validity:
80%
⚠️ Flags outliers and business rule violations
⚠️ Detects impossible or suspicious values
⚠️ Validates data ranges and constraints
Insights: Do your values make sense for your business context?
Why This Matters:
Reduce time spent on manual data validation and quality checks
Speed Up Engineering
Identify data quality issues before they cascade downstream
Early Problem Detection
Lightweight analysis with minimal computational overhead
Cost-Effective
Get specific problem details to understand what needs attention
Actionable Insights
Real-World Applications
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Data Pipeline Management: Validate data at each stage of your ETL process
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Data Warehouse Onboarding: Quickly assess quality of new data sources
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Quality Assurance: Baseline data health before analytics or ML workflows
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Data Governance: Monitor ongoing data quality for compliance requirements
Built for Modern Engineering Teams
Our Data Quality Score API is designed to be the easiest way to understand and improve your data quality without the enterprise overhead.
Marketplace Add-On
Available soon on Atlassian Marketplace for Jira and Confluence
API-First Design
RESTful API integrates with your existing tools in minutes
Zero Infrastructure
No onsite deployment, no heavy lift just plug and play
Self-Service - Your team validates data quality on-demand, when they need it
- Data Quality Scoring API Pricing -
Get Started Today
Ready to improve your data quality process?
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Contact Sales: Request API Access
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View Demo: Visit the demo interface at syswisdom.ai
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Read Docs: Check the full API documentation on our website
Frequently Asked Questions
Q: Do you store our data?
A: No. Data is analyzed in-memory and immediately discarded after scoring.
Q: Can I integrate this into my CI/CD pipeline?
A: Yes. Our REST API is designed for automation and can be called from any build system.
Q: What programming languages do you support?
A: Our API is language-agnostic. We provide code examples in Python, JavaScript, Java, and cURL.
Q: How is this different from data validation libraries?
A: We provide instant, comprehensive scoring without requiring you to write validation rules. Perfect for ad-hoc analysis and ongoing monitoring.