Tensorforge streams, cleans, and aligns decentralized exchange data so institutional investors can build forecasting, risk, and alpha models with production-grade confidence.
DEX execution, liquidity, and wallet behavior—normalized across chains and ready for ML workloads.
Tensorforge combines real-time ingestion with rigorous curation so quant, risk, and research teams can deploy models with confidence in data integrity.
Cleaned swaps, LP flows, and routing data that preserve market microstructure details and eliminate noisy artifacts.
Years of normalized blockchain history with consistent schemas and low-latency retrieval for training jobs.
Real-time DEX signals delivered through API or cloud data shares for live model inference.
Transparent QA checks, reproducible feature logic, and full lineage to satisfy governance requirements.
Tensorforge curates DEX data across major chains, applying normalization, entity resolution, and liquidity modeling before delivery.
Multi-chain swap, pool, and mempool data captured at source.
Unified schemas across chains with deterministic pricing.
Liquidity curves, order flow analytics, and wallet tagging.
APIs, cloud shares, or direct feeds for training and inference.
Purpose-built for institutional workflows that need repeatable, defensible data pipelines.
Multi-chain DEX coverage with deterministic mappings so model outputs remain stable over time.
Feature tables, embeddings, and labeled datasets delivered in formats compatible with modern ML stacks.
Dedicated solutions engineering for integration, validation, and bespoke coverage.
Contact Tensorforge for coverage details, sample datasets, and a tailored data pipeline for your team.
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