deepskew
ManualTrust

Verify It's Real

deepskew makes a strong claim: nothing on screen is sampled, mocked, or decorative. Every number is computed from current on-chain state, and every number is checkable against the chain. Here is how to confirm that for yourself, in about a minute.

  1. 1
    Open the desk
    The terminal is the root route. It loads the live volatility surface, the oracle, the PLP vault, and a tape of mints and redeems for the active Predict market.
  2. 2
    Watch the cerulean pulse on each oracle tick
    Every time the oracle publishes a new tick the readout pulses cerulean. That pulse is a real state change arriving from the chain, not an animation loop. The data is live, not mocked.
  3. 3
    Click any settlement or fill row
    Each settlement and fill row opens its transaction on Suiscan, so you can read the on-chain event that produced the number you just saw.
  4. 4
    Open the Sources menu in the status bar
    The status bar Sources menu links the Predict package, the Predict market, and the active oracle, each straight to its object on Suiscan.
  5. 5
    Read the formula behind any number
    Hover a value for the formula inline via its tooltip, or open the Glossary to read the same math typeset, with a pointer to where it is computed.

The claim is not that the numbers look plausible. It is that each one traces back to a public source you can open.

  • The desk reads live on-chain state. Nothing is sampled or mocked.
  • Every fill and settlement links to its transaction on Suiscan.
  • The Predict package and the source objects are linkable to their Suiscan pages.
  • The math is open in src/lib and documented in Methodology.
  • The repository is public.

These are the exact Testnet identifiers the desk reads from. Each one opens its object on Suiscan.

Predict package
Predict market
Default oracle
NoteNothing on screen is unverifiable
Every figure is computed from current on-chain state, and every figure is checkable: open the source objects above, click any fill or settlement to its transaction, read the math in Methodology, and look up any term in the Glossary.