Use Cases

Hyve H3’s combination of sub-100ms latency, high throughput, and cryptoeconomic guarantees enables a new class of decentralized applications previously impossible on existing storage infrastructure.

By integrating Hyve H3, an application can transform from a closed-market to a decentralized economy with composability not possible before.

Perpetual DEXes and Prediction Markets

Central limit order books (CLOBs) power perpetual exchanges and prediction markets, requiring sub-second access to massive append-only orderbook data. Every trade, order placement, and cancellation generates data that must be indexed, stored, and served to traders, market makers, and frontends in real-time.

Hyve enables fully decentralized orderbooks where the entire trading history becomes permissionlessly accessible. Market makers can query tick-level data for backtesting strategies. Frontends can serve real-time orderbook state directly from the network. The orderbook transforms from an application-controlled database into an open, composable data layer that anyone can build on.

Social platforms depend on instant media retrieval for user experience. Content-heavy applications require immediate access to images, videos, and audio files at scale to deliver the fast-paced feeds users expect.

Hyve provides the high-speed storage layer that decentralized social platforms need. Projects like Farcaster, Lens, and Audius can store rich media content while delivering instant loading experiences. Content remains user-owned and censorship-resistant without sacrificing performance.

DePIN Infrastructure

Decentralized Physical Infrastructure Networks collect massive datasets from distributed hardware, like sensors, cameras, GPS devices, and IoT equipment. The value is only realized when this data can be consumed in real-time by applications, AI models, and network participants.

Hyve enables DePIN networks to build truly decentralized data pipelines where data flows from edge devices directly into high-performance storage accessible to the entire ecosystem. This unlocks live data marketplaces where consumers pay for real-time access, and decentralized compute pipelines where distributed GPUs can pull data at the speeds required for training and inference.

AI and Autonomous Agents

AI applications and autonomous agents operate through continuous data access, inference, and output storage. On-chain agents require contextual data, such as historical market data, blockchain state, and news events, to make informed decisions. The speed of data access directly determines agent intelligence and responsiveness, while the openness of data determines its verifiability.

Hyve provides a shared, verifiable data layer where agents can access contextual information with sub-100ms latency. Protocols can maintain massive training datasets accessible to all participants. Autonomous trading agents can pull terabytes of historical orderbook data to backtest strategies. AI inference services can cache model weights and common outputs in a decentralized layer.

Real World Assets (RWAs)

RWA tokenization requires verifiable, programmable access to legal and financial documents: titles, inspection reports, loan agreements, valuation appraisals, and governance records. Every tokenized asset depends on this documentation to prove ownership and terms.

Hyve enables RWA platforms to create verifiable document layers where smart contracts can programmatically confirm document availability before executing financial operations. A DeFi lending protocol can verify that a property’s title deed, inspection report, and insurance policy are all accessible before issuing a loan. Investors gain direct access to documentation without intermediaries.

What Hyve Enables

Across all these use cases, Hyve provides capabilities that existing infrastructure cannot: sub-100ms read latency for hot data, immediate availability after writes, and horizontal scaling with network growth. The Data Settlement Protocol provides continuous availability verification with economic penalties for failures, ensuring data remains accessible throughout its retention period. Applications can build on shared, permissionlessly accessible data layers with verifiable proofs that smart contracts can integrate directly.