Sentralis
Portfolio risk and scenario analytics for crypto holders. With REST and MCP API, and innovative Risk Workbench for deep investigations.
A startup from Switzerland.
Portfolio risk and scenario analytics for crypto holders. With REST and MCP API, and innovative Risk Workbench for deep investigations.
A startup from Switzerland.
This page is designed to help you find out whether Sentralis is good and if it is the right choice for you.
Sentralis is portfolio intelligence for crypto holders: the analytical depth of a professional risk desk, applied to your own positions.
See your portfolio the way a risk professional does. Nine scenario engines quantify how your holdings behave under any market condition you choose: Instant Shock, Factor Shock, Macro Sensitivity, Sector Concentration, Liquidity & Exit Stress, Correlation Regime Stress, Counterparty & Infrastructure Risk, and Monte Carlo simulation. Every result is computed on your actual book, not a benchmark, and every result explains what drives it.
Professional methods, ready to use. Correlated Monte Carlo on Cholesky factorization with Ledoit-Wolf shrinkage covariances. VaR, CVaR and drawdown analytics. Regime-aware correlation modelling that captures how diversification really behaves across market phases.
Learn from history on your own terms. Historical Event Replay applies more than fifteen real market episodes, from COVID Black Thursday and Terra/Luna to FTX and the SVB/USDC depeg, to your current positions, so you know exactly how your portfolio would have come through each one.
Investigate with the Risk Workbench. Pre-Mortem generates and ranks the mechanisms that matter most for your portfolio. Event Decomposition breaks any market event into its components. Risk Delta Autopsy explains what changed since your last look.
Stay ahead automatically. Scheduled reports with written commentary and alerts on the conditions you define.
Built for the agent era. A REST API and a hosted MCP server expose every engine, so Claude, ChatGPT, Cursor or your own code can run analyses and read results directly.
Yours to control. Non-custodial and read-only. Imports fetch balances only; exchange credentials are never stored. Build hypothetical portfolios without connecting anything.
Free plan. Pro and Premium for more capacity and AI credits. Desktop-first.
Listed in
Nine scenario engines
Instant Shock, Factor Shock, Macro Sensitivity, Sector Concentration, Liquidity & Exit Stress, Correlation Regime Stress, Counterparty & Infrastructure Risk, Historical Event Replay and Monte Carlo, each run on your actual positions with a full explanation of what drives the result.
Correlated Monte Carlo simulation
Seeded, reproducible simulations using Cholesky factorization over Ledoit-Wolf shrinkage covariances, with VaR, CVaR and drawdown distributions for the whole portfolio and each position.
Historical Event Replay
Applies more than fifteen real market episodes, including COVID Black Thursday, Terra/Luna, 3AC/Celsius, FTX and the SVB/USDC depeg, to your current holdings to show how the portfolio would have come through each one.
Correlation Regime Stress
Models how correlations between your assets shift across market phases, so you can see how much diversification you really hold when it matters.
Counterparty & Infrastructure Risk
Quantifies exposure to the exchanges and custody venues behind your imported portfolio, an angle standard trackers do not cover.
Risk Workbench
Investigation modules for deeper questions: Pre-Mortem ranks the mechanisms that matter most for your portfolio, Event Decomposition breaks a market event into its components, Risk Delta Autopsy explains what changed since your last look, and Marginal Risk Explorer shows what each position adds.
Sentralis AI
Context and user objective aware AI assistants
Scheduled reports and alerts
Reports delivered on your schedule with written commentary, plus alerts built from your own risk conditions that notify you when they are met.
REST API and MCP server
Every engine is available programmatically, and a hosted Model Context Protocol server lets Claude, ChatGPT, Cursor or your own agents run analyses and read results directly.
Non-custodial, read-only by design
Wallet and exchange imports fetch balances only, exchange credentials are never stored, and hypothetical portfolios can be built and analysed without connecting any account.
Sentralis's uniqueness comes from the combination of institutional-grade risk and scenario analytics applied to the user's own crypto portfolio, with AI agents on top that turn the numbers into insight, and a workflow that serves a first-time holder and a professional equally well.
Self-directed crypto holders who want to understand their portfolio with the rigour a professional desk would apply, without institutional tooling. Around that core: semi-professional investors managing meaningful positions, contributors and analysts working on DAO or project treasuries, and developers building agents or workflows on the API and MCP server.
Portfolio trackers show what a user holds and how it has performed. On-chain analytics platforms describe the market as a whole. Sentralis answers the question in between: how the user's specific portfolio behaves under conditions the user choose, and which positions drive that behaviour. It replays more than fifteen real market episodes against the user's own book, quantifies exchange and custody exposure, and keeps watching through scheduled reports and alerts. It is non-custodial and read-only throughout, and hypothetical portfolios can be analysed without connecting anything.
React 19, TypeScript and Vite on the front end. Node.js 20 with Express on the back end, split into an API process and a BullMQ worker on Redis. PostgreSQL with TimescaleDB for time-series market data. A dependency-free TypeScript analytical core shared by browser and server. Python with numpy, pandas and scikit-learn for covariance preparation. The MCP server is built on the official Model Context Protocol SDK.
We have collected here some useful links to help you find out if Sentralis is good.
Check the traffic stats of Sentralis on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Sentralis on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Sentralis's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Sentralis on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Sentralis on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is Sentralis good? This is an informative page that will help you find out. Moreover, you can review and discuss Sentralis here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
