Built for considered research, not quick guesses
Majetrix brings structured data, AI-assisted summaries, and open performance logs together in one workspace — so you spend less time hunting for information and more time deciding what matters.
Data coverage snapshot
Relative signal volume tracked per category
AI assistance, with the reasoning kept visible
Most tools either bury you in raw data or hand you an opaque "score" with no explanation. Majetrix is built around a middle path: AI models process large volumes of market, on-chain, and sentiment data, then surface the factors behind each summary in plain language.
You can inspect what drove a given read, discard what you disagree with, and treat the output as one input among several — not a final answer.
Every feature is designed to support your own judgment
Below is a detailed look at the core capabilities available during the beta. Features and availability may change as we continue testing.
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Multi-source data aggregation
Pricing, volume, on-chain activity, and public sentiment signals are pulled into a single view, reducing the need to switch between separate tools.
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AI-generated summaries
Plain-language summaries highlight notable shifts in activity or sentiment, with a short explanation of the underlying data points.
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Configurable watchlists
Track a defined set of assets and receive summaries scoped to your list rather than scrolling through unrelated market noise.
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Open performance logs
Past AI-assisted summaries and their outcomes are logged and made available for community review, rather than kept private.
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Session-based history
Revisit prior summaries for a given asset to see how the AI's read of the data changed over time.
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Adjustable alert thresholds
Set the sensitivity of notifications so you're only prompted when activity crosses a level you consider meaningful.
Each feature plugs into a single workflow
Data layer
Raw inputs — price history, on-chain flows, and public sentiment feeds — are normalized and refreshed on a regular cycle before analysis runs.
Analysis layer
AI models process the normalized data and generate structured summaries, flagging the specific signals that influenced each read.
Review layer
Summaries and their later outcomes are logged openly, giving the community a way to assess consistency over time.
From raw data to a usable summary
Collect
Majetrix continuously pulls pricing, volume, on-chain, and sentiment data for the assets in scope.
Analyze
AI models review the combined dataset and generate a structured summary with the contributing factors listed.
Review
You read the summary, check the reasoning behind it, and decide how — or whether — it fits into your own research.
A closer look at three core capabilities
Structured, explainable AI summaries
Rather than a single opaque score, each summary breaks down the data points that contributed to it — such as a volume spike, a shift in sentiment, or unusual on-chain movement — so you can see the "why" behind the "what."
Summaries reflect patterns in available data and may not capture every relevant factor.
Focused tracking for the assets you care about
Build a watchlist of specific assets and receive summaries and alerts scoped only to that list, cutting out unrelated market chatter and keeping your research workspace focused.
Watchlist limits and configuration options may evolve during the beta period.
Performance history open for community review
Past AI-assisted summaries, along with what happened afterward, are logged and made publicly viewable. This is meant to support transparency, not to imply any assurance of accuracy going forward.
Historical outcomes do not predict future results.
Explore the full feature set during the beta
Join the waitlist to get access as new capacity opens up, and help shape the workspace through early feedback.
Join the BetaMajetrix provides AI-assisted research tools for informational purposes only. Nothing on this page constitutes financial, investment, or trading advice. Cryptocurrency markets are volatile and carry significant risk; always conduct independent research before making any decisions.