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Alterscope is a risk-data platform for on-chain finance. It turns the raw, fragmented state of DeFi protocols — vaults, oracles, curators, pegs, and the relationships between them — into normalized, decision-ready risk data, delivered through one API. Think of it as the risk-and-reference layer a desk would otherwise have to build and maintain itself.

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The problem

Allocating capital in DeFi means answering questions that the chain does not answer for you:
  • Is this vault’s oracle sound, or one bad feed away from a loss?
  • Who curates it, and what is their track record?
  • If this stablecoin wobbles, how does the shock travel to my positions?
  • How much am I really exposed to a single asset, protocol, or borrower?
The data to answer these exists on-chain, but it is scattered across protocols, encoded differently by each, and meaningless without heavy normalization. Most teams either build that pipeline themselves — an expensive, ongoing job — or fly blind.

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What Alterscope does

Alterscope does that normalization once, sourcing directly from the chain, and exposes the result as clean, comparable data:
  • Vault & market risk — composition, health, and governance for lending vaults and their markets.
  • Oracle classification — how each price oracle is wired and whether it can be trusted right now.
  • Curator analytics — track record, fees, allocations, and cap history for the people managing vaults.
  • Graph intelligence — contagion, concentration, and capital-flow signals from a knowledge graph of how assets and protocols connect.
  • Risk factors & simulation — explainable factor scores, Monte-Carlo VaR, and liquidity-exit modeling.
Every answer arrives with its own freshness and quality verdict, so you always know how much to trust a number before acting on it — and the methodology behind each number is published, not hidden.

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Who it’s for

  • Risk teams and allocators evaluating where to put capital and watching it once deployed — start at For risk teams.
  • Treasuries and funds monitoring peg health, exposure, and contagion.
  • Developers and AI agents building on a risk-aware, agent-first API — start at Get started.

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Where to go next