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Announcing Numina’s API and Sandbox

Today, we’re delighted to invite you to peek into the future. In this future, Numina makes streets queryable, so you can build apps on top of the world’s data.

From the beginning, Numina was designed to gather a comprehensive view of how streets behave — not just looking at car traffic like so many platforms, but generating ground-truth information about pedestrians, bicycles, and all the other things that don’t move exclusively in lanes. Simultaneously, we committed to providing intelligence without surveillance and only storing completely anonymous data. The beauty of our system today is that this data is, by design, safe to share in aggregate for all sorts of applications.

We’ve deployed our systems in 15 communities around the world so far, and all that data is helping people learn amazing things about their neighborhoods. Now, you can explore the data yourself using our APIalpha, which provides access to a public data sandbox from Downtown Brooklyn in New York City!

Desire lines loading on street view
One way our users view Numina data, this example from Downtown Brooklyn.

The data sandbox features 10 days of activity from Downtown Brooklyn, where we measured Fulton Mall in partnership with Downtown Brooklyn Partnership and New Lab. This dataset is special to us: It covers the site of our Gen-2 product launch, where individual sensors measure over 28,000 pedestrians on an average day, and where we observe incredible density and a diverse mix of different transportation modes as a regular state of affairs. While we are assessing the most responsible ways of publishing more granular data, our alpha API allows you to spatially and temporarily filter traffic volumes by mode and to retrieve pre-computed visualizations. There’s more to come, but I hope you’ll enjoy exploring the potentials of understanding street-level activity like never before.

By making Numina insights digestible for others, we hope to enable people to innovate further, faster, and more creatively for the benefit of the cities everywhere. With Numina data, we can answer crucial questions like:

  • When do pedestrians walk against traffic?
  • How often do bicycles ride on the sidewalk?
  • Where are storefront visitors coming from?
  • Is there a pattern of accidents in this intersection?

And at larger scales, answering these questions has different implications about, and ultimately for, urban life altogether. Explore with us.

To get started, request access at and read our Developer’s Annotation of a case study from Downtown Brooklyn, authored by Numina’s all-star Data Systems Engineer (and transit nerd), Pranav Badami.

I’d love to hear from you. Let us know what you’re working on and how we can improve Numina to better serve your needs and enable your creativity.

Excited and ready to build with you,

Tara and the Numina team