Eustore

Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict versioned schemas at boundaries, and emits provenance metadata with every run. Outputs include L2 order books, trade events, and funding events in Parquet, JSONL, or streaming form. Aleatoric Engine is infrastructure—not a predictive system—and it does not generate trading signals, optimize strategies, or forecast prices.

SQL to PySpark conversion, AWS Glue job generation, and Spark code optimization.

Access 2,300+ verified public datasets from World Bank, IMF, Eurostat, OECD, WHO, FRED, and more. Search, query, and publish data visualizations with real data. ## What you can do - **Search** across 2,300+ datasets by topic, category, or keyword - **Query** any dataset with filters, sorting, and field selection - **Get schema** and column statistics before querying - **Publish charts** with Plotly specs — Autario pulls real data, no hallucinated values - **Create datasets** and write your own data ## Categories Finance, Trade, Technology, Health, Demographics, Energy, Environment, Infrastructure, E-Commerce ## Setup No setup needed for reading data. For publishing charts, get free API keys at https://autario.com/account ## Links - npm: `npx autario-mcp` - Documentation: https://autario.com/documentation - API: https://autario.com/api/v1/public/datasets

Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

The infrastructure for the AI economy: primitives for inference, agents, and decisions.

AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.