Metadata-Version: 2.4
Name: mainstreet
Version: 0.1.2
Summary: Public policy hedonic assessment — evaluate whether policy serves Main Street's hedonic needs
Project-URL: Homepage, https://github.com/altpath-ai/highnoon
Project-URL: Repository, https://github.com/altpath-ai/highnoon
Author-email: AltPath AI <hello@altpath.ai>
License-Expression: MIT
Keywords: assessment,atus,bls,hedonics,living-wage,mcp,policy,public-policy
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10
Requires-Dist: fastmcp>=2.0
Requires-Dist: hedonics>=0.1.1
Description-Content-Type: text/markdown

# Main Street

**Public policy hedonic assessment** — evaluate whether policy serves Main Street's hedonic needs using real federal data.

Pulls data from BLS (CPI, ATUS, Employment), MIT Living Wage Calculator, and Census ACS. Assesses policy through the Hedonics framework: which ends does a policy serve, which costs does it modify, and who bears the distributional effects?

Part of the [AltPath AI](https://altpath.ai) ecosystem.

## The Four-Package Architecture

- **altpath** — Personal hedonic assessment (how is YOUR life?)
- **hedonics** — Shared taxonomy + fungibility calculus (the common language)
- **highnoon** — Software purpose assessment (what does this CODE do for people?)
- **mainstreet** — Policy hedonic assessment (does this POLICY serve Main Street?)

## Status

Pre-alpha. Under active development.

## License

MIT
