We’re excited to announce that our Quality Control (QC) Assessment and QC Flags features, previously available on the Clarity Dashboard, are now fully integrated into our Air Monitoring API and historical report downloads in the Clarity Dashboard. This enhancement reinforces Clarity’s commitment to delivering not just data, but data you can trust.

Earlier this year we launched automated QC features that identify and flag questionable air quality measurements directly on the Dashboard using red diamonds, making it easy to filter out invalid air quality measurements. This ensures that Clarity users can focus their analyses and data sharing on valid data. 

Since then, many users of our air quality measurement equipment have asked when these QC features will be available on our API and Dashboard report downloads — that time has come.

Recap: What are QC Flags and QC assessment?

Back in July, we introduced automated QC tools designed to ensure the integrity and reliability of your air quality data. The QC flags are applied to measurements that meet specific criteria based on our in-depth understanding of air pollution, sensor technology, and known failure modes. 

Each flagged measurement is then assessed, and if deemed invalid, it’s clearly marked for further review. For our users, this feature provides transparency and control over the data, ensuring you only work with information you can trust. For more information about our QC procedures, visit the Clarity Knowledge Base

What’s new: Access QC information through API and reports

Starting today, QC flags and QC assessments are accessible via the Clarity API and can be included in your downloaded historical reports. This expansion gives you the ability to programmatically retrieve and review the quality status of each data point — so that you can easily exclude invalid data from your offline reports and analyses. 

Why is quality control important for your air quality data?

Providing QC information through the API and report downloads allows for a more flexible and comprehensive data experience. You’ll now have consistent access to quality-assessed data across all formats. 

This ensures that you work with only the most accurate air quality data from your Clarity devices, whether visualizing trends on the Dashboard, pulling historical reports to conduct in-depth analyses in Python or R, or sharing your air quality measurements publicly via API integration. 

How to get started with automated QC control

  1. API Access: To access QC information via the API, check out our updated API documentation, which includes detailed instructions on querying QC flags and QC assessment for your measurements.
Clarity's Air Monitoring API now includes the ability to query QC flags and QC assessment for your air quality measurements, so you can incorporate Clarity's automated QC features into custom air quality maps, apps and reports.
  1. Historical Reports: When downloading historical reports from the Clarity Dashboard, you’ll now see an option to include QC flags and QC assessment, providing you with comprehensive data quality insights directly in your CSV files.
Historical reports on the Clarity Dashboard now provide the option to include QC assessment and flags, providing you with better visibility of the validity of measurements.

Air quality data you can trust

The integration of QC features into our API and report downloads is a key milestone in our mission to empower users with trustworthy air quality data. By expanding our QC capabilities beyond the Dashboard, we aim to provide better tools to our customer organizations to deliver top-tier air quality information to their community members and stakeholders.

Thank you for your continued feedback and support as we work to enhance our platform. Stay tuned for more updates as we continue to innovate and provide the highest-quality air monitoring solutions in the industry. For more details on how QC flags work, visit the Clarity Knowledge Base.

As always, feel free to reach out to our team if you have any questions or need support navigating these new features.