How to Connect Keen IO to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Keen IO

You have an Excel workbook full of data — event collection inventories you're maintaining, property audits you're running against your analytics schema, cached dataset configurations you need to document before a migration. And in Keen IO, you have a project that has been accumulating event streams for months. Getting anything useful from one into the other takes more work than the outcome justifies.

Keen IO is built for custom event analytics — it collects structured event data, handles queries at scale, and powers embedded dashboards. But extracting that data into a workbook means authoring API calls, decoding JSON responses, and manually flattening nested arrays into usable rows.

Below are the four ways teams typically handle this. Only the last one scales.

Method 1: Manual Copy-Paste

For Excel users, the typical workflow is exporting a CSV from whatever Keen IO dashboard is available — or copying JSON from an API response and parsing it by hand. For a single collection with a handful of properties, that works. For a comprehensive schema audit across forty-plus collections, it means an afternoon of repetitive extraction that produces a document that's already drifting from reality before you finish it.

What wears people down about Keen IO schema work specifically is that there's no single view. Every collection is its own query. The properties are nested. The inferred types aren't guaranteed to be stable. You end up maintaining a workbook that requires manual updates every time the event schema evolves — which is constantly.

Method 2: Power Automate

Power Automate has HTTP connector support that can reach the Keen IO API. You can build a flow that fires on a schedule, calls the Keen IO schema endpoint, parses the response, and writes rows back to your Excel workbook.

Before you commit to this path: do you know what an HTTP action is in Power Automate? How to parse a JSON array into dynamic content? How to use the Apply to Each loop to iterate over nested properties? If those don't ring a bell, this isn't your path — skip to Method 3 or 4.

If you're still here: yes, it's buildable. The setup involves authenticating to the Keen IO API, constructing the right endpoint for each collection, mapping the nested property arrays through a loop, and writing the output back to the right columns in your workbook.

The flow works once it's built. The problem is what happens when it needs to do more than one thing at a time.

Power Automate processes one item per loop iteration. Pulling schemas for forty event collections means forty iterations — and if one collection returns an unexpected response shape, the loop can fail silently or corrupt the rows downstream.

You probably just need a clean property inventory and you have no idea how to debug a silent loop failure in a Power Automate run history. That's a completely reasonable position to be in. So you push this to whoever manages your automations, and now you're waiting to find out if it makes it onto their backlog before your dashboard migration deadline.

And once you need conditional logic — flagging stale datasets, filtering by query type, joining against another sheet — you've moved well past what a standard connector loop can handle cleanly.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option for spreadsheet ↔ Keen IO workflows was a category of add-ons that let you configure field mappings and saved templates. You set up your endpoint, mapped the response columns, saved a config, and scheduled it.

That was a genuine improvement over one-off exports. Configs were reusable, output was consistent, and the team didn't have to reconstruct the mapping from scratch every time.

But you were still responsible for the field definitions, the type mapping, the column naming, the filter scoping. The tool moved data through — the thinking was still yours. And when Keen IO changed a property name or added a new collection, your config produced incorrect rows until someone opened it and fixed the mapping by hand.

This is the previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Excel

There is a different approach entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you're looking at, and through its built-in Keen IO integration it can pull from or push to Keen IO for you. No template setup, no loop configuration, no JSON parsing by hand. You just ask.

Example 1: Build a complete schema registry across all collections

Fetch the schema for every event collection in my Keen IO project and write one row per property to this workbook with columns for collection name, property name, and inferred type.

SheetXAI queries every collection, unpacks the nested property arrays, and writes one clean row per property — no manual flattening, no intermediate JSON step.

Example 2: Flag stale cached datasets for a migration review

List all cached dataset definitions in my Keen IO project and write each one to this sheet with dataset name, index field, query type, timeframe, and creation date. Mark column E as "Stale—Review" for any dataset created more than 6 months ago.

The pattern: the conditional annotation — "more than 6 months ago" — runs inside the same prompt as the data pull. You don't extract the data and then add a formula. You ask for both in one go.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook where you're working with Keen IO analytics, then ask it to pull your event collection schemas or audit your cached datasets. The Keen IO integration is included in every SheetXAI plan.