For analysts
See it all at once.
Outlook, key levels, flow, leverage, positioning, volatility, ETF activity and on-chain conditions in one place.
Open live marketThe data bank for onchain markets
One market question.
The full context.
·
no opinion yet
the first outlook has not been generated
Extracted from the same data
ETH
BTC
Spot, derivatives, options, on-chain, ETF and macro data in one continuously updated market view – for analysts and AI.
The work underneath
Six data layers. One market state.
All six run continuously and are reconciled against one another, so you can analyse a market now without reconstructing it first.
01SpotPrice structure and executed flowCVD · value areas · VWAP · key levels
02DerivativesLeverage, funding and liquidationsopen interest · funding · basis · positioning
03OptionsVolatility and forward expectationsmax pain · gross gamma · open interest · DVOL
04On-chainNetwork activity and valuationNUPL · MVRV-Z
05ETF flowsInstitutional demandUS spot ETFs · daily net flow
06MacroEvents and cross-asset conditionscalendar · treasuries · cross-asset · earnings
01Collect
02Normalize
03Align
04Validate
05Interpret
Decision-ready output
One versioned market state
01What changed
02Why it matters
03What to watch
What your system receives
The market, aligned into one object.
Each snapshot combines the data relevant to its horizon, with freshness, coverage and methodology attached.
This snapshot arrived
Snapshot
What your AI can derive
- Scenario by horizon The dominant path across 24h–30d
- What does not add up Failed responses, spot–leverage conflicts and peer divergences
- Structural map Objectives, invalidations, waypoints and asymmetry
- What changes the view Missing confirmation, event risk and review triggers
- Snapshot size
- –
- Input contract size
- –
- Refresh cadence
- –
- Recommended opinion cadence
- 3–6 hours
Two ways in
Use it yourself. Or give it to your agent.
For AI agents
Ask in your own words.
Connect over MCP. Your agent receives the same complete, quality-aware market state instead of rebuilding it across sources.
Connect via MCPBuilt to be inspected
Every answer shows its work.
Conclusions stay connected to definitions, windows, freshness, completeness and supporting evidence.
01Timestamped
The market as it was at that moment.
02Freshness-aware
Stale inputs never pass as current.
03Quality-scored
Nothing is filled in, nothing is guessed.
04Versioned
One consistent reading contract.
05Source-aware
Every conclusion stays connected to evidence.
Don’t reconstruct the market. Read it.
Start with the live BTC and ETH context, or plug the same market state into your AI.