docs
Using SentiDex
FAQ

FAQ

General

What is SentiDex?

SentiDex is The Attention Market — a platform for trading crypto narrative attention as a continuous, on-chain index.

Is this the same as prediction markets?

SentiDex uses prediction market mechanics (LMSR pricing, on-chain settlement), but the underlying is attention rather than a binary event. There's no single yes/no outcome — the market continuously prices the relative flow of attention across categories.

Who is SentiDex for?

  • Traders who want to express a macro view on crypto narratives without picking individual tokens
  • Researchers who want a market-priced signal for crypto attention
  • Builders who want to integrate an attention index into their own products

Trading

How are prices determined?

Prices are set by an LMSR automated market maker. Each trade moves the price of the bought position up and all others down, in a mathematically consistent way. See How Scoring Works for details.

Can I lose more than I put in?

No. Your maximum loss is the amount you paid for your shares. There is no leverage and no liquidation risk.

What is the reserve position?

The reserve is a special position that acts as a market-wide uncertainty bucket. When you're unsure which specific narrative will win but want to stay in the market, the reserve offers exposure to the overall attention pool without committing to a specific category.

Are markets expandable?

Yes. SentiDex markets are designed to expand — new positions (categories) can be added as new narratives emerge. The LMSR reprices all positions when a new one is added.


Technical

What chain is SentiDex on?

Currently Sepolia testnet. Mainnet details will be announced.

Is the code open source?

The smart contract architecture is based on the PredictionSwap Ledger system. Source code and audit reports will be published ahead of mainnet.

How do I integrate the SentiDex index into my own product?

See the Developer API docs. We expose read endpoints for current attention scores, position prices, and historical index data.


More questions?

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