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A lightweight, open-source federation platform that lets participating startups share anonymized growth KPIs to generate cross-market benchmarks and test growth hypotheses without exposing raw data. Key features include: - Contract-driven data exchan
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README.md

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.