Compare Xkit to segment specific unified apis

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Low Latency Data
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Flexible Data Schemas
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Fully Managed Data Pipeline
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Low Latency Data

While unified APIs help with a standard request-response pattern, the reality of most integrations is that new data is a huge part of the process. Handling that new data from your customers’ apps quickly can be the difference in a great integration and a frustrating one. Unified APIs wrap the existing APIs underneath, and when dealing with non-standard push mechanisms for new data, that means you’re either building something custom or getting data the slow way.

With Xkit, we continuously monitor your customers’ apps using the lowest latency APIs available from webhooks to incremental change APIs, and trigger your pre-built Xkit processing pipeline as soon as there is new data. Without any extra build steps, you’ll be ingesting new data in under two minutes, and frequently as quickly as 30 seconds.

Flexible Data Schemas

Unified APIs try to push all the data into a single, standard format. In some industries, like banking, that’s easy. In others, like CRMs, it’s nearly impossible. Once you’re outside the standard, you’re back to building an integration the hard way. The truth is, you already have a standard data format that you need - it’s defined in your API!

With Xkit, rather than forcing you to use our standard, we leverage your existing standard in your API and let you map the data from your customers’ apps to it, usually without writing any code at all. You get to ingest data the way that you want it.

Fully Managed Data Pipeline

Most customer-facing integrations can be boiled down to one thing: getting your customers’ data into your application. With a unified API, you have a single set of endpoints to retrieve that data, but it’s up to you to write the code to find the right data, page through the results and process it in your format.

With Xkit, you get a fully managed data pipeline that handles all of that for you. You define the data you want and how to map it to your application, and we do the rest including monitoring the pipeline for errors anywhere - even in the code you wrote!

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