Resources
FAQ
Straight answers to the questions people ask most.
What is Dravo Hood?
Dravo Hood is the ecosystem registry and contract-intelligence platform for Robinhood Chain. It helps you discover projects, resolve addresses, inspect contracts, and decode transactions using live on-chain data.
Who is Dravo Hood for?
Developers, analysts, and users of Robinhood Chain who need trustworthy, verifiable information about what is deployed on the chain.
Why Robinhood Chain?
Dravo Hood is purpose-built for Robinhood Chain so it can understand the chain natively — its standards, verification sources, and explorer coverage — instead of treating it as one option among many.
Why live data?
Because a stored snapshot drifts out of date and invites fabrication. Reading live means answers reflect current on-chain reality, and gaps are shown honestly instead of filled with guesses.
How do the tools work?
Registry lists verifiable projects; Lookup resolves any identifier; Inspect reads a contract's verification, source, ownership, and permissions; Decode turns calldata into readable actions; Brain answers questions across general knowledge, Dravo knowledge, and live context.
Does Dravo Hood have a token?
Yes. $DRAVO is live on Virtuals Protocol. The only official contract address is 0xEff525e0F109663C97D2C4e4bfc7F2c0dFFC9F09 — see the Token page to verify it and find the official trade link.
Where can I get $DRAVO?
$DRAVO launched on 2026-07-13 via Virtuals Protocol. Use only the official trade page (https://app.virtuals.io/virtuals/104613/trade) and always verify the contract address on the Token page first — anything else is unofficial.
Why is some blockchain data unavailable?
Some data simply does not exist on-chain — an unverified contract has no published source, for example. When a provider returns nothing, Dravo marks the field unavailable rather than inventing it.
How does Dravo avoid fake blockchain information?
Every on-chain answer is retrieved from a live provider and Dravo only presents what it actually receives. Brain reasons over retrieved context and never fabricates missing details. Accuracy is prioritized over looking complete.
