Insights

spren insights give users a more interpretable look into their biomarker patterns using a combination of physiological analysis and contextual reasoning, our insights api is able to provide responses related to overall readiness, stress, illness, exercise, and more here's an example of how the insights object will look in the response json from the biomarker and insight results get endpoint for more information on status objects , check out the spren api overview https //docs spren com/spren api page example insights output { "insights" { "readiness" { "status" "complete", "value" 10 }, "ansbalance" { "status" "complete", "value" 1 }, "illnessmodifier" { "status" "pending", "errordescription" null }, "stressscore" { "status" "complete", "value" 2 }, "activityguidancescore" { "status" "complete", "value" null } } } along with environmental and demographic data, if you're using an external device to collect data, all of our insights require an ibi input with a minimum of 60 inter beat intervals and a corresponding ibitimestamp input representing the time with which each inter beat interval was recorded each measurement additionally needs to represent at least 1 minute of continuous data our insights also require at least two measurements per user from two different days and are intended to be "at rest" measurements absent of exercise, excessive movement, or acute stressors at the time of the measurement conditions and inputs not being met will return an insufficient data response some insights require additional metadata inputs as described in order to return a valid response ⭐️ spren's most popular insights these are the most popular insights currently on spren's menu of insights definitions, information on input and output, and additional context can be found for each of the popular insights in this section feel free to click on the links to learn more about each insight daily readiness docid\ xyagt0rfpvnnmykfhkoht ans balance docid\ vmobv2 xicomjytfqatth need a custom insight built to your needs? our team of data scientists and health and performance experts can build a custom insight specific to your data sources and your end users’ goals