build(agent): new-agents-3#dd492b iteration

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# MercuryMesh Agents MercuryMesh MVP Architecture
- Goal: Privacy-preserving market-data federation for cross-exchange analytics.
- Core primitives: MarketSignal, AggregatedSignal, PlanDelta, PrivacyBudget, AuditLog, ProvenanceProof.
- Graph-of-Contracts registry governs signal contracts, adapters, and conformance.
- Delta-sync with offline reconciliation and Merkle provenance logging.
- Lightweight TLS-based transport; plugin adapters for venue feeds.
- MVP includes two starter adapters (venue A and venue B) and a toy analytics frontend later.
Architecture overview Tech Stack (in this repo)
- Client adapters (VenueAdapter implementations) produce Signals at data sources near venues. - Language: Python 3.9+
- A Graph-of-Contracts registry defines Signals, how they map to aggregations, and adapters. - Data models: Pydantic for strong validation
- Merkle provenance anchors each signal to venue + timestamp for auditability. - Registry: simple Python in-tree contracts registry
- Delta-sync reconciles signals offline when connectivity is intermittent. - Adapters: two starter Python adapters that simulate venue feeds
- Lightweight transport with TLS; adapters expose Python bindings for easy plugin integration. - Tests: pytest-based unit tests
- Toy analytics frontend API using FastAPI to demonstrate cross-venue aggregation without exposing raw data. - Packaging: pyproject/setup.cfg with setuptools-based build
Tech stack
- Python 3.9+
- FastAPI for API surface
- Pydantic for data models (via Signals)
- Lightweight Merkle provenance (SHA-256)
- Simple delta-sync algorithm for MVP
Testing and commands Testing and commands
- Run tests: bash test.sh - Run tests: bash test.sh
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- Linting: optional (not included in MVP) - Linting: optional (not included in MVP)
Contribution rules Contribution rules
- Keep interfaces stable; add adapters for venues without touching core contracts. - Keep interfaces stable; add adapters without touching core contracts unnecessarily.
- Write tests for new features; ensure existing tests remain green. - Add tests for new features; ensure existing tests stay green.
- Update AGENTS.md with new architectural notes when changing the contract graph or provenance strategy. - Do not commit secrets or credentials.

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# MercuryMesh MVP # MercuryMesh MVP
MercuryMesh is a privacy-preserving market-data federation for cross-exchange analytics. Privacy-preserving market data federation for cross-exchange analytics.
This MVP provides core contracts, a registry scaffold, two starter adapters, a Merkle-based provenance module, delta-sync capabilities, a simple analytics aggregator, and a tiny HTTP API for testing.
Whats included - Core primitives: MarketSignal, AggregatedSignal, PlanDelta, PrivacyBudget, AuditLog, ProvenanceProof.
- Core data contracts: Signal, SignalDelta, ProvenanceProof, PrivacyBudget, AuditLog - Graph-of-Contracts registry and two starter adapters (venue A & B).
- New primitives: AggregatedSignal and PlanDelta for cross-venue analytics and incremental plan updates - Lightweight TLS-based wiring and a toy provenance module.
- Graph-of-Contracts registry scaffold - MVP focused on contract-driven, privacy-preserving signal sharing without raw data exposure.
- Two starter adapters: ExchangeA and BrokerB
- Merkle provenance module for verifiable signal anchoring
- Delta-sync engine for offline reconciliation
- Lightweight analytics aggregator
- Tiny FastAPI-based backend for end-to-end signal aggregation
- Tests and packaging metadata
How to run Getting started
- Install project: python3 -m build - Run tests and build: bash test.sh
- Run tests: bash test.sh - The repository uses a minimal in-tree packaging setup (Python) and PyTest-based tests.
- Start API (example): uvicorn mercurymesh_privacy_preserving_market_da.server:app --reload
This MVP is designed as an extensible foundation. You can plug in real venue adapters and replace synthetic data generation with live feeds while keeping the contract graph stable. This README intentionally documents the MVP scaffold added in this commit.
Usage notes
- The Graph-of-Contracts registry is kept in-memory for MVP. Persist via a simple store if needed.
- Privacy budgets and audit logging are stubs for MVP; replace with policy-driven logic for production.

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mercurymesh/README.md Normal file
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MercuryMesh MVP
- Lightweight, contract-driven primitives for privacy-preserving cross-venue analytics.
- Two starter adapters simulate venue feeds and produce MarketSignal blocks.
- Includes a simple in-tree Graph-of-Contracts registry and data models.
Usage:
- Import mercurymesh.contracts to construct MarketSignal and AggregatedSignal.
- Use mercurymesh.registry.GraphOfContractsRegistry to register adapters and contracts.

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mercurymesh/__init__.py Normal file
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"""MercuryMesh Core Primitives
Public API for lightweight MVP of the privacy-preserving market data federation.
"""
from .contracts import MarketSignal, AggregatedSignal, PlanDelta, PrivacyBudget, AuditLog, ProvenanceProof
__all__ = [
"MarketSignal",
"AggregatedSignal",
"PlanDelta",
"PrivacyBudget",
"AuditLog",
"ProvenanceProof",
]

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"""Adapter stubs for two starter venues (Venue A and Venue B)."""
from .venue_a import VenueAAdapter
from .venue_b import VenueBAdapter
__all__ = ["VenueAAdapter", "VenueBAdapter"]

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"""Starter adapter: Venue A (simulated FIX/WebSocket/REST feed)."""
from __future__ import annotations
from datetime import datetime, timedelta
from typing import Dict
from mercurymesh.contracts import MarketSignal
class VenueAAdapter:
name = "venue-a"
def __init__(self) -> None:
self._start = datetime.utcnow()
def extract_signal(self) -> MarketSignal:
now = datetime.utcnow()
# Simple synthetic features to demonstrate MVP plumbing
ts = now
signal = MarketSignal(
venue_id=self.name,
symbol="ABC",
timestamp=ts,
features={
"liquidity_proxy": max(0.0, (ts - self._start).total_seconds()),
"order_flow_intensity": 0.5,
"volatility_proxy": 0.1 + (ts.second % 5) * 0.01,
},
)
return signal

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"""Starter adapter: Venue B (simulated FIX/WebSocket/REST feed)."""
from __future__ import annotations
from datetime import datetime
from mercurymesh.contracts import MarketSignal
class VenueBAdapter:
name = "venue-b"
def extract_signal(self) -> MarketSignal:
now = datetime.utcnow()
signal = MarketSignal(
venue_id=self.name,
symbol="XYZ",
timestamp=now,
features={
"liquidity_proxy": 0.75,
"order_flow_intensity": 0.65,
"volatility_proxy": 0.2,
},
)
return signal

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mercurymesh/contracts.py Normal file
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from __future__ import annotations
from typing import Dict, List, Optional, Any
from datetime import datetime
from pydantic import BaseModel
class MarketSignal(BaseModel):
venue_id: str
symbol: str
timestamp: datetime
features: Dict[str, float]
class AggregatedSignal(BaseModel):
venues: List[str]
feature_vector: Dict[str, float]
privacy_budget_used: float
nonce: str
merkle_proof: Optional[str] = None
class PlanDelta(BaseModel):
version: int
timestamp: datetime
delta: Dict[str, Any]
class PrivacyBudget(BaseModel):
total: float
consumed: float
remaining: float
class AuditLog(BaseModel):
entries: List[str]
last_updated: Optional[datetime] = None
class ProvenanceProof(BaseModel):
venue_id: str
timestamp: datetime
merkle_root: str
proof: str

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mercurymesh/registry.py Normal file
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from __future__ import annotations
from typing import Dict, Any
class GraphOfContractsRegistry:
"""Minimal in-tree registry for adapters and signal contracts."""
def __init__(self) -> None:
self.version: int = 1
self.adapters: Dict[str, Dict[str, Any]] = {}
self.contracts: Dict[str, Dict[str, Any]] = {}
def register_adapter(self, name: str, info: Dict[str, Any]) -> None:
self.adapters[name] = info
def register_contract(self, name: str, info: Dict[str, Any]) -> None:
self.contracts[name] = info
def get_adapter(self, name: str) -> Dict[str, Any]:
return self.adapters.get(name, {})
def get_contract(self, name: str) -> Dict[str, Any]:
return self.contracts.get(name, {})

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[build-system] [build-system]
requires = ["setuptools", "wheel"] requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta" build-backend = "setuptools.build_meta"
[project] [project]
name = "mercurymesh-privacy-preserving-market-da" name = "mercurymesh"
version = "0.1.0" version = "0.1.0"
description = "Privacy-preserving market-data federation MVP (MercuryMesh)" description = "Privacy-preserving market data federation core primitives for MercuryMesh MVP"
readme = "README.md" readme = "README.md"
requires-python = ">=3.9" requires-python = ">=3.9"
license = {text = "MIT"}
authors = [{name = "OpenCode", email = "dev@example.com"}]
dependencies = [ dependencies = [
"fastapi>=0.101.0", "pydantic>=1.10,<2",
"uvicorn[standard]>=0.22.0", "pytest>=7,<8",
"pydantic>=1.10.0",
"pytest>=7.0.0",
] ]
[tool.setuptools.packages.find]
where = ["."]
exclude = []

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setup.cfg Normal file
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[metadata]
name = mercurymesh
version = 0.1.0
description = Privacy-preserving market data federation MVP primitives
long_description = file: README.md
long_description_content_type = text/markdown
license = MIT
classifiers =
Programming Language :: Python :: 3
License :: OSI Approved :: MIT License
[options]
packages = find:
python_requires = >=3.9
install_requires =
pydantic>=1.10,<2
[options.packages.find]
where = .

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test.sh
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#!/usr/bin/env bash #!/usr/bin/env bash
set -euo pipefail set -euo pipefail
echo "Running unit tests (pytest) ..." echo "Running tests..."
pytest -q pytest -q
echo "Building package with setuptools..." echo "Building package..."
python3 -m build python3 -m build
echo "All tests passed and package built." echo "All tests passed and package built."
if [ -f READY_TO_PUBLISH ]; then
echo "READY_TO_PUBLISH flag detected. Proceeding with publish."
else
echo "ERROR: READY_TO_PUBLISH flag not found. Aborting."
exit 1
fi

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tests/test_contracts.py Normal file
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import pytest
from datetime import datetime
from mercurymesh.contracts import MarketSignal, AggregatedSignal, PlanDelta, PrivacyBudget, AuditLog, ProvenanceProof
def test_market_signal_roundtrip():
ms = MarketSignal(
venue_id="venue-a",
symbol="ABC",
timestamp=datetime.utcnow(),
features={"liquidity_proxy": 1.0, "order_flow_intensity": 0.5},
)
assert ms.venue_id == "venue-a"
assert ms.symbol == "ABC"
assert isinstance(ms.features, dict)
def test_aggregated_signal_schema():
agg = AggregatedSignal(
venues=["venue-a", "venue-b"],
feature_vector={"liquidity_proxy": 0.8, "volatility_proxy": 0.2},
privacy_budget_used=0.1,
nonce="nonce-123",
merkle_proof=None,
)
assert "liquidity_proxy" in agg.feature_vector
def test_provenance_and_audit():
prov = ProvenanceProof(
venue_id="venue-a",
timestamp=datetime.utcnow(),
merkle_root="abc123",
proof="proofdata",
)
audit = AuditLog(entries=["signal produced"], last_updated=None)
assert prov.venue_id == "venue-a"
assert isinstance(audit.entries, list)