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Traditional data pipelines ingest raw data from various sources, transform it for compatibility, and store it for integration or analysis. Verity extends this concept to blockchains, creating verifiable data pipelines that empower Smart Contracts to cryptographically confirm that critical data is sourced and processed according to predefined logic.
Example: A prediction market uses Verity to enable a parlay bet across all eSports games for a specific week. Outcomes are verified using API-based session authorisations for each player.

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Why It Matters

Blockchains are unforgiving environments:
  • Transactions are irreversible and challenging to trace.
  • Assets are uninsured, with high-velocity operations.
  • Errors or tampered data can result in severe capital losses.
Verity ensures Smart Contracts can embed guarantees about sensitive or gated data — securely, at scale.

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Data & Trust

In Web3, trust is decentralised:
  • Blockchains decentralise trust in program execution (Smart Contracts).
  • Oracle Networks decentralise trust in data sourcing.
However, for private or niche data that remains centralised, Oracles cannot fully guarantee the origin or accuracy of the data. In this scenario, Oracles are centralised because at some point in the data lineage, the data source itself is centralised. Therefore, to minimise the trust required to understand the outcome of the data, we must trace the trust back to its original source. Usher Labs' Verity - The Problem Verity serves as a data security layer, shifting trust to your verified data sources. It allows Smart Contracts to authenticate actions based on verifiable off-chain data, reducing risks from tampering, phishing, and insider threats. Verity enables:
  • Accurate, secure data integration for Smart Contracts.
  • Innovative applications where multiple participants can securely contribute and verify their private off-chain data, ensuring trust is rooted in the data sources.
Usher Labs' Verity - The Solution
Explore why digital assets must be secured with trusted data.