FractalAI is an AI-native Layer 1 blockchain built from scratch in Rust. It features post-quantum signatures (CRYSTALS-Dilithium / ML-DSA-65, FIPS-204), Proof of Fractal Work consensus, WASM smart contracts, and 460+ RPC endpoints.

What is the FRAC token?

FRAC is the native utility token of the FractalAI blockchain with a fixed supply of 1 billion tokens. It is used for staking, governance, gas fees, and DeFi. FRAC is purely deflationary with a 61.8% fee burn rate based on the golden ratio.

How does Proof of Fractal Work differ from Proof of Work?

Proof of Fractal Work (PoFW) requires validators to perform fractal analysis instead of hash puzzles. Validators whose fractal dimensions approach the golden ratio (φ = 1.618) receive higher rewards, making it computationally meaningful rather than wasteful.

Is FractalAI quantum-resistant?

FractalAI signs with CRYSTALS-Dilithium (ML-DSA-65, NIST FIPS-204) in production today — resistant to known classical and quantum attacks, not "unbreakable". ML-KEM (Kyber) key encapsulation for encrypted transport is in active development (not yet wired). Crypto-agile by design.

How can I buy FRAC tokens?

FRAC tokens are available through the presale at fractalai.net.co/presale. You can pay with USDC on Base, USDC on Stellar (lowest fees), or credit/debit card via Circle. The presale has 4 phases starting at $0.25 (Seed) up to $0.80 (Public), with listing target at $1.00.

What is the AURUM protocol?

AURUM is FractalAI's commodity tokenization protocol that enables gold, silver, platinum, and 5 other commodities to be tokenized on-chain with phi-bonding curves that grow at 1.618% per epoch.

Fractal AI · PQC

Integration guide

A signature checks integrity and the signing key. It does not prove factual accuracy, the declarant’s identity or prior existence.

SupplyTrack

Review declared JSON fields with the free local demo. Paid reviews with a PQC receipt are a separate service.

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Open terminal demo and CLI guide

Eight record formats share one sealing engine. Acceptance workflows, verified declarant identity, external timestamps and evaluated AI learning remain integration work.

Declare → sign → verify → accept → track changes. Acceptance and change control are planned.

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