Initial upload of ARC-T DeFi Execution sample

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - reinforcement-learning
+  - tabular-classification
+language:
+  - en
+tags:
+  - synthetic
+  - finance
+  - defi
+  - crypto
+  - mcts
+  - trading-agents
+  - execution-intelligence
+pretty_name: Solstice ARC-T DeFi Execution Intelligence
+---
+
+# Solstice ARC-T DeFi Execution Intelligence (Sample)
+
+**Synthetic risk-to-execution decision loops for autonomous DeFi agents.** This dataset captures 3,000 multi-step decision traces from autonomous trading agents operating in a simulated Decentralized Finance (DeFi) ecosystem.
+
+Built by [Solstice AI Studio](https://www.solsticestudio.ai/datasets) as a free sample of a larger commercial pack. 100% synthetic — no real wallet addresses or on-chain history used.
+
+## What's in the box
+Each record in the JSONL stream represents a full execution loop, including:
+- **Market State:** Simulated oracle prices, liquidity depths, and volatility triggers.
+- **Risk Assessment:** Whale movement signals and oracle staleness metrics.
+- **Agent Reasoning:** MCTS-style strategy selection (Monte Carlo Tree Search) with success/failure probability weights.
+- **Execution Outcome:** Final trade result including gas costs, slippage, and PnL.
+
+## Use Cases
+- **Autonomous Agent Training:** Train models to select optimal trading strategies based on simulated market stress.
+- **Risk Model Evaluation:** Benchmark protocol safety against extreme market scenarios and oracle failures.
+- **Anomaly Detection:** Identify malicious or inefficient trading patterns in high-frequency DeFi telemetry.
+
+## Data Provenance
+Generated using Solstice’s PhantasOS / SIMA simulation engine. The simulation uses MCTS (Monte Carlo Tree Search) to explore the decision space of a trading agent, recording both the chosen path and the explored alternatives.
+
+## Get the Full Pack
+Scale this dataset to 1M+ decision loops, including cross-chain bridge logic and complex liquidity provider (LP) scenarios.
+[www.solsticestudio.ai/datasets](https://www.solsticestudio.ai/datasets)