For LLM agents

This site is built to be read by language-model agents as well as people.

Markdown pages

Every HTML page has a Markdown twin at the same address with .md in place of .html:

Page	Markdown
https://georgiacivicdata.org/py/index.html	https://georgiacivicdata.org/py/index.md
https://georgiacivicdata.org/py/articles/analysis.html	https://georgiacivicdata.org/py/articles/analysis.md
https://georgiacivicdata.org/py/generated/georgiacivicdata.rows.html	https://georgiacivicdata.org/py/generated/georgiacivicdata.rows.md

Each HTML page also names its twin in its <head>:

<link rel="alternate" type="text/markdown" href="analysis.md">

The Markdown pages hold the same text, code and outputs as the HTML pages, with tables as plain text.

llms.txt

• llms.txt lists every page's Markdown address with a one-line description, following https://llmstxt.org.

• llms-full.txt holds every page in one file.

Writing code with the package

• Import it as import georgiacivicdata as gcd. There is no API key.

• Find a dataset with gcd.search("plain words") or gcd.datasets(), read it with gcd.describe(name) and gcd.columns(name), then get rows with gcd.rows(name, **filters).

• Filters are keyword arguments named after the API's parameters; the filters table of gcd.describe(name) lists every one with its values.

• A missing metric usually means the value was suppressed for privacy, not zero. Never add the all total to its subgroups, and pool rates from their counts instead of averaging them.

• The API itself is documented at https://georgiacivicdata.org/docs, and Georgia Civic Data also runs an MCP server for agents; see the main site.