34 lines
1.7 KiB
Markdown
34 lines
1.7 KiB
Markdown
MarketMesh Privacy-Preserving Federated Benchmarking
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Overview
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- Lightweight, open-source federation platform for sharing anonymized growth KPIs to generate cross-market benchmarks without exposing raw data.
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- MVP features: contract-driven data exchange, privacy budgets, secure/DP aggregation, delta-sync, governance ledger, adapters marketplace, and a CatOpt-inspired interoperability abstraction.
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- Getting Started
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- Install (editable):
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python -m build
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pip install .
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- Run tests: ./test.sh
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MVP Extensions (What’s next)
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- Governance ledger: tamper-evident audit logs for reproducibility and compliance.
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- Contract registry: versioned contract management for cross-adapter interoperability.
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- DSL scaffold: LocalExperiment/SharedStats primitives to describe experiments and signals.
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- Adapter conformance: lightweight checks to ensure adapters map to canonical signals as per contracts.
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- Delta-sync enhancements: bounded-staleness, version vectors, and deterministic reconciliation on reconnects.
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- Run tests: ./test.sh
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Project Structure (high level)
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- marketmesh_privacy_preserving_federated_: Core package with protocol, aggregation, governance and adapters scaffolding.
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- marketmesh_privacy_preserving_federated_/adapters: Stripe and Shopify adapters (minimum viable implementations).
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- tests: Basic unit tests for protocol/aggregation and adapter mappings.
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How to contribute
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- Implement additional adapters by adding modules under adapters/ and mapping their signals to canonical KPIs.
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- Extend the protocol with more contract fields and governance rules as needed.
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License
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- MIT-style license (placeholder in this MVP).
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This README is linked in pyproject.toml for packaging visibility.
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