Turn Your Data Into Decisions with the Zype Analytics 3 API

Running a video business? I’m sure that’s why you’re here! In our experience, most video businesses asks the same questions:

• What content is actually performing?
• How are viewers engaging right now?
• Where is revenue coming from?
• Can we get this data automatically, without manual exports?
  
  

We have good news! The Zype Analytics 3 API is designed to answer those questions in real time and at scale.

With our API, you can access both real-time engagement data and historical reporting, then shape that data to fit your workflows and make those critical business decisions. Whether you’re powering a BI tool or validating the time and money that goes into producing a live event, our Analytics 3 API gives you full control over how and when you use your data.

Why Use the Analytics 3 API Instead of Out of Box Reports?

Out of box dashboards and one-off exports can be a hassle for video content management teams. Sometimes what is presented doesn’t display the data filtered the way you need, and we all know the pain of waiting for an export to be delivered via email when you need it at that moment. The Analytics API enables you to pull exactly the data you need, filtered by time, platform, content, or attribution. Trust us, your team doesn’t want to wait on slow exports that require reconciling multiple data sources.

As your business grows, you need analytics that are:

• Automated
• Customizable
• Real-time
• Consistent across teams

What You Can Do with Analytics 3?

The Analytics API covers three core dimensions of your video business. All of this data can be filtered by precise time windows whether you’re monitoring the last 10 minutes of a live stream or exporting a full quarter of historical performance.

Engagement & Viewing Behavior

Understand how audiences interact with your content:

• Plays by video or playlist
• Concurrent viewers during live events
• Player requests and engagement trends
• Watch time and audience activity over time
  
  

Platform & Delivery Insights

Optimize distribution and costs:

• Stream hours by platform
• Playout hours for FAST and linear channels
• Platform-level consumption patterns
• Consumer activity (new vs returning viewers)
  
  

Revenue & Monetization

Support finance and ad operations:

• Subscription and transactional revenue summaries
• Period-over-period revenue analysis
• Scheduled exports for monthly close or forecasting

Built for Automation and BI Workflows

One of the biggest advantages of using the Analytics API is how easily it fits into existing data pipelines. Plug it right into what you’ve been using for years to enhance your data and give your team additional insights.

Teams commonly use it to:

• Automate recurring reports (daily, weekly, monthly exports)
• Feed BI tools like Looker, Power BI, or Tableau
• Populate data warehouses or cloud storage
• Validate tracking and attribution changes after deployments
• Monitor live events with near real-time visibility

The output is clean, structured CSV or JSON. You’ll get data ready for spreadsheets, dashboards, or downstream processing.

Real-Time and Historical Data

One of the key features of the Analytics 3 API is that it encapsulates “real-time” and “historical” into a single system. While recent data (last ~24 hours) updates in near real time, historical data is queried using the same endpoints. You control freshness simply by adjusting your time filters

This makes it easy to:

• Keep dashboards responsive with short rolling windows
• Run scheduled jobs for longer historical reporting
• Avoid data mismatches between operational and executive views

Designed to Scale with Your Business

The API is built with production use in mind. We’ve attempted to answer questions you may have when using a new API ahead of time to make it easy to use.

We included these features for ease of use:

• Sensible pagination for large data pulls
• Clear rate limits so jobs complete reliably
• Flexible filters and dimensions for custom reporting
• Support for attribution fields like tracking partners and codes

Whether you’re running a lightweight cron job or a full ETL pipeline, Analytics 3 adapts to your scale.

Example Business Workflows

• Daily BI Feeds: Nightly jobs export engagement, stream hours, and revenue data → upload to cloud storage → BI tools ingest automatically.
• Live Event Monitoring: Short, rolling time windows (last 60–120 minutes) update dashboards every few minutes during premieres or live broadcasts.nisg
• Attribution QA: After launching new campaigns or embed tracking codes, teams pull recent slices grouped by attribution fields to confirm data is flowing correctly.

Get Started

To begin using Analytics 3, you’ll need:

• Your Zype API key with Analytics 3 access
• An environment to run scripts or jobs
• (Optional) A destination like a BI tool, database, or cloud storage

From there, you can start small. Call a single endpoint, create a single report, and scale into fully automated analytics workflows that fit your business.

A modern OTT business doesn’t win by reacting to reports after the fact. It wins by embedding analytics directly into the systems that power daily decisions.

Book a demo to see how Zype Analytics 3 helps media teams operate with speed, clarity, and confidence.