SDMX XML Bundle

The machine-readable distribution format the Federal Reserve uses for the G.20's full history: one ZIP-packaged XML bundle holding 156 time series (~5.3 MB uncompressed) with monthly observations back to January 1943.

In this catalog it appears concretely: - federal-reserve-finance-companies-g-20 — "monthly series beginning January 1943 in the SDMX XML bundle".

Access method sets your maintenance bill. Delivery routes change, layouts drift and scrapers rot quietly; whoever operates your pipeline inherits all of it, which is why access should be priced alongside the license itself.

The failure mode is concrete: a source can carry the SDMX XML Bundle label while differing from what you need on exactly the dimension that matters — monthly series beginning January 1943 in the SDMX XML bundle. Comparing two sources on that line usually settles the choice faster than any feature matrix.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and federal-reserve-finance-companies-g-20 lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Open federal-reserve-finance-companies-g-20 and confirm its record — "monthly series beginning January 1943 in the SDMX XML bundle" — against the files you actually receive.
2. Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
3. Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
4. Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.

See the term applied to real records: specialized-finance data.

Adjacent concepts worth reading next: - bulk download - country year panel - Statistical Release