Coupler AI

Coupler AI works with your business data through conversation. Describe what you need in plain language, and it connects sources, prepares the data, answers questions about it, and turns the analysis into a report. No SQL, no code.

Where it runs

• Inside Coupler.io. The AI Agent, available in the app. It can reach every data set in your workspace.

• In the AI tool you already use. Claude, ChatGPT, Cursor, Custom MCP, Gemini CLI, OpenClaw, and Perplexity. Add the tool as a destination on a data flow, and it can work with the data sets you sent to it. See MCP for how the connection works, and the tool's page under Destinations → AI integrations for how to set it up.

Everything below works in every one of these tools. What changes from one to the next is which data sets are in reach, not what you can do with them.

What it does

• Sets up your data. Build and configure a data flow from a description: the source, the destination, the schedule.

• Prepares the data your analysis needs. Join, aggregate, or pivot data sets with SQL and save the result as a data set you can keep using.

• Answers questions and writes reports. Explore and analyze your data, then turn the analysis into a structured report.

• Refreshes your data on demand. Ask for the latest data and it runs the flow, so the next question is answered against current numbers.

Answers are backed by Coupler.io's validated calculations. Your AI tool doesn't estimate the numbers or query your source systems directly. It asks Coupler.io, which runs the query and returns checked results.

What makes the answers yours

Context is what you add so the AI reads your data the way your team does, instead of seeing only column names and rows. It comes in three layers:

• Data context covers what each data set and column means: types, units, allowed values, and your names for your metrics.

• Business context covers how to interpret the numbers: the logic behind them, the known gaps, your calendar of launches and outages, and the targets you measure against.

• Skills are reusable procedures for the work that repeats, so a recurring analysis is done the same way every time.

Context lives with your data and your workspace, not in a single chat, so it applies in the AI Agent and in every AI tool you connect, and every new conversation starts already informed.