The Leader in API Analytics

The Leader in API Analytics
How Prodigy gets alerted of new issues on their mobile API.

How Prodigy gets alerted of new issues on their mobile API.

Overview

Prodigy is software platform backed by 8VC, Battery Ventures, SV Angel and CrunchFund for car dealerships to streamline the car purchase process. Their web and mobile apps enables the sales staff to drive a consistent sales process and increase margins. Prodigy developed a REST API to power their mobile and web apps using Node.js and Express and also to connect with over 1,300 lenders which enables them to offer car loans in minutes.

Problem

If their API has errors, the customer experience in their apps would suffer. Marty Hu, the CTO of Prodigy, was looking for a solution to alert them of any anomalies that occur with their mobile APIs in real-time and to gain deeper visibility into the API traffic for easier debugging.

Results

"We have found Moesif indispensable for maintaining an increasingly complex backend. It allows us to respond to issues swiftly and gives us incredible visibility into our services."

Marty Hu, Prodigy Co-Founder and CTO

Prodigy installed Moesif using Moesif’s Express Middleware SDK which took about 20 minutes to install and deploy to production. Deploying Moesif in production enables Prodigy to monitor the live RESTful API traffic and not just test data. They set up Slack alerts so they can stay informed of any issue with the API and then later used Moesif's PagerDuty integration when they rolled out PagerDuty. The middleware automatically captures data from the REST API and sends to Moesif for analysis. To ensure they have customer context like customer email, Prodigy also integrated the identifyUser() functionality which creates a user profile in Moesif for each of Prodigy's customers. If a customer does have an issue with Prodigy, Prodigy engineers used Moesif to quickly look up the customer in Moesif and see what went wrong with the API to solve the customer's issue as quick as possible.

Measuring adoption of integration partners at the Edge

Measuring adoption of integration partners

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The Zebra

Everything is going great. I made some enhancements to the headers sent with each request to enable searching on select items and our stakeholders are really enjoying using it.

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Debugging Rest API errors

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Improving API performance

Basepair is a next generation DNA sequencing (NGS) data analytics SaaS trusted by scientists at Harvard Medical School, Rutgers, Boston Children's Hospital, and others. They make NGS data analysis as simple as booking a flight online. Basepair provides a RESTful interface to add new samples, run analysis, download results, among other tasks. Being focused on the scientific medical community, they also provide a Python CLI tool with higher level methods for common activities.

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Praetorian Digital

Moesif is a part of my daily flow giving me important insight into our API as well as the consumers of our API.

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How Prodigy gets alerted of new issues on their mobile API.

Monitoring mobile APIs

Prodigy is software platform backed by 8VC, Battery Ventures, SV Angel and CrunchFund for car dealerships to streamline the car purchase process. Their web and mobile apps enables the sales staff to drive a consistent sales process and increase margins. Prodigy developed a REST API to power their mobile and web apps using Node.js and Express and also to connect with over 1,300 lenders which enables them to offer car loans in minutes.

Read Case Study

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