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

MVP Extensions (What’s next)
- Governance ledger: tamper-evident audit logs for reproducibility and compliance.
- Contract registry: versioned contract management for cross-adapter interoperability.
- DSL scaffold: LocalExperiment/SharedStats primitives to describe experiments and signals.
- Adapter conformance: lightweight checks to ensure adapters map to canonical signals as per contracts.
- Delta-sync enhancements: bounded-staleness, version vectors, and deterministic reconciliation on reconnects.
- 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.