API Access

Access dataset files directly from scripts, code, or AI agents.

Browse dataset files

Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/luccasmmg/gold-prices/

├ .gitignore

https://datahub.io/luccasmmg/gold-prices/_r/-/.gitignore

├ FRESHNESS_CHECK.md

https://datahub.io/luccasmmg/gold-prices/_r/-/FRESHNESS_CHECK.md

├ README.md

https://datahub.io/luccasmmg/gold-prices/_r/-/README.md

├ UPDATE_SCRIPT_MAINTENANCE_REPORT.md

https://datahub.io/luccasmmg/gold-prices/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md

├ cache/annual.xls

https://datahub.io/luccasmmg/gold-prices/_r/-/cache/annual.xls

├ cache/historical_gold_prices.pdf

https://datahub.io/luccasmmg/gold-prices/_r/-/cache/historical_gold_prices.pdf

├ cache/monthly.xls

https://datahub.io/luccasmmg/gold-prices/_r/-/cache/monthly.xls

├ data/annual.csv

https://datahub.io/luccasmmg/gold-prices/_r/-/data/annual.csv

├ data/monthly-processed.csv

https://datahub.io/luccasmmg/gold-prices/_r/-/data/monthly-processed.csv

├ data/monthly.csv

https://datahub.io/luccasmmg/gold-prices/_r/-/data/monthly.csv

└ datapackage.json

https://datahub.io/luccasmmg/gold-prices/_r/-/datapackage.json

Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.json— metadata & schema

https://datahub.io/luccasmmg/gold-prices/_r/-/datapackage.json

README.md— documentation

https://datahub.io/luccasmmg/gold-prices/_r/-/README.md

Typical Usage

1. Fetch datapackage.json to inspect schema and resources
2. Download data resources listed in datapackage.json
3. Read README.md for full context

Data Views

Data Previews

monthly-processed

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Schema

name	type	format	description
Date	date	any
Price	number		Gold price in USD per troy ounce

annual

Loading data...

Schema

name	type	format
Date	yearmonth	default
Price	number	default

monthly

Loading data...

Schema

name	type	format
Date	yearmonth	default
Price	number	default

Data Files

File	Size	Last modified	Download
monthly-processed	44.9 kB	about 1 month ago	monthly-processed
annual	2.38 kB	about 2 months ago	annual
monthly	35.6 kB	about 2 months ago	monthly

Files	Size	Format	Created	Updated	License	Source
3	82.9 kB	csv		about 1 month ago		Worldbank gold prices

Update Script Maintenance Report

Date: 2026-03-03

Investigated local updater setup failure caused by strict dependency pinning on this runtime.
Updated scripts/requirements.txt to use compatible ranges:
- xlrd>=2.0.1
- pandas>=2.2.3,<3.1
Updated scripts/process.py to gracefully skip PDF merge when upstream PDF endpoint serves non-PDF content.
Executed updater (python scripts/process.py) and refreshed monthly/annual data from XLS sources while safely skipping blocked PDF merge.
This improves cross-environment install reliability and prevents hard failures from upstream PDF source changes.