Credentials
Stored encrypted and decrypted only while a job is running. Use an IAM user scoped to the bucket below.
Temporary credentials
Leave empty for a long-lived IAM user key.
Location
Where browsing starts. Leave it empty to start at the top of the bucket. Saved work addresses objects by their full path, so this is a starting point rather than a restriction.
Group By, Count, Sum, Min, Max, and Average Columns in OFX Data
Group by, count, sum, min, max, and average columns in your Open Financial Exchange data quickly
Connectors
Read straight from the systems your data already lives in, instead of uploading a file.
Summarize Data
This tool lets you group rows in your Open Financial Exchange file based on the values in one or more fields--similar to the SQL GROUP BY operation. It’s perfect for summarizing data by category, generating totals, counts, or averages, and reducing large datasets into meaningful aggregates. You can group your data by any column--such as product type, location, or date--and apply functions like sum, min, max, or count to the grouped results. Whether you're analyzing survey responses, sales records, or logs, this tool helps you turn raw data into structured insights without writing any code.
Open Financial Exchange
OFX (Open Financial Exchange) is the open specification banks, brokerages, and payment providers use to publish
statements and transaction histories. A single .ofx download holds the sign-on response, account details,
and every statement transaction in one nested document, written either as SGML tag pairs or as XML.