26 lines
1.1 KiB
Markdown
26 lines
1.1 KiB
Markdown
MarketMesh Privacy-Preserving Federated Benchmarking
|
|
|
|
Overview
|
|
- Lightweight, open-source federation platform for sharing anonymized growth KPIs to generate cross-market benchmarks without exposing raw data.
|
|
- MVP features: contract-driven data exchange, privacy budgets, secure/DP aggregation, delta-sync, governance ledger, adapters marketplace, and a CatOpt-inspired interoperability abstraction.
|
|
|
|
Getting Started
|
|
- Install (editable):
|
|
python -m build
|
|
pip install .
|
|
- Run tests: ./test.sh
|
|
|
|
Project Structure (high level)
|
|
- marketmesh_privacy_preserving_federated_: Core package with protocol, aggregation, governance and adapters scaffolding.
|
|
- marketmesh_privacy_preserving_federated_/adapters: Stripe and Shopify adapters (minimum viable implementations).
|
|
- tests: Basic unit tests for protocol/aggregation and adapter mappings.
|
|
|
|
How to contribute
|
|
- Implement additional adapters by adding modules under adapters/ and mapping their signals to canonical KPIs.
|
|
- Extend the protocol with more contract fields and governance rules as needed.
|
|
|
|
License
|
|
- MIT-style license (placeholder in this MVP).
|
|
|
|
This README is linked in pyproject.toml for packaging visibility.
|