> ## Documentation Index
> Fetch the complete documentation index at: https://docs.alterscope.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Why Alterscope

> What Alterscope is, the problem it solves, and who it is for — in plain language, before any API detail.

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.

## 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.

## 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](/trust/methodology/graph-intelligence) 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](/trust/data/freshness-and-quality), so you always know how much to trust a number before acting on it — and the [methodology](/trust/methodology/overview) behind each number is published, not hidden.

## Who it's for

* **Risk teams and allocators** evaluating where to put capital and watching it once deployed — start at [For risk teams](/for-risk-teams).
* **Treasuries and funds** monitoring peg health, exposure, and contagion.
* **Developers and AI agents** building on a risk-aware, [agent-first API](/develop/concepts/agentic-envelope) — start at [Get started](/develop/get-started/introduction).

## Where to go next

* See concrete workflows under [Use cases](/use-cases/pre-deposit-vault-due-diligence).
* Understand why the data is trustworthy in [Trust & methodology](/trust/methodology/overview).
* Check what's covered today on the [Coverage](/coverage) page.
* New to the terms? The [glossary](/develop/concepts/glossary) defines them in plain language.