fingerprintjs/fingerprint-pro-server-api-openapi
Mar 2026 – Mar 2026
1 Month active
Languages Used
YAML
Technical Skills
API DevelopmentMachine Learning IntegrationSchema Design
maurafortino-fingerprint
PROFILE
Maurafortino-fingerprint
Worked on the fingerprintjs/fingerprint-pro-server-api-openapi repository to enhance the Virtual Machine detection capabilities by introducing an ML-based confidence score, mlScore, to the v3 API’s Virtual Machine object. This feature leveraged machine learning integration and careful schema design to provide clients with improved risk-based decision support while maintaining backward compatibility for existing integrations. The implementation focused on API development using YAML, ensuring that the new field was seamlessly incorporated without disrupting current endpoints or affecting system stability. Throughout the month, the work emphasized traceability and reproducibility, with explicit commit references supporting transparent review and ongoing maintainability of the API model.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
32
Activity Months1
Your Network
23 peopleSame Organization
@fingerprint.com8
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for fingerprint-pro-server-api-openapi: focused feature delivery and API model enhancement with minimal disruption. Added ML-based confidence score (mlScore) to the Virtual Machine object for VM detection in the v3 API, enabling improved risk-based decisions for clients. No public bug fixes reported this month; core stability maintained.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for fingerprint-pro-server-api-openapi: focused feature delivery and API model enhancement with minimal disruption. Added ML-based confidence score (mlScore) to the Virtual Machine object for VM detection in the v3 API, enabling improved risk-based decisions for clients. No public bug fixes reported this month; core stability maintained.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
API DevelopmentMachine Learning IntegrationSchema Design
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